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Completeness of 40 TRIZ Principles with DIKWP × DIKWP(初学者版)

已有 860 次阅读 2024-9-13 15:44 |系统分类:论文交流

Completeness of 40 TRIZ Principles with DIKWP × DIKWP Transformations

Yucong Duan

International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC)

World Artificial Consciousness CIC(WAC)

World Conference on Artificial Consciousness(WCAC)

(Email: duanyucong@hotmail.com)

 

Introduction

The DIKWP model—Data (D), Information (I), Knowledge (K), Wisdom (W), Purpose (P)—is a networked framework where transformations can occur between any pair of elements in both directions, as well as within elements themselves (self-transformations). The interactive transformations between these elements (DIKWP × DIKWP) form a complex network that models cognitive processes in both human cognition and artificial intelligence systems.

The 40 TRIZ (Theory of Inventive Problem Solving) principles are a set of strategies derived from analyzing patterns in global patent literature, aimed at solving complex problems through inventive thinking.

We are going to investigate the completeness of the 40 existing TRIZ principles concerning the DIKWP × DIKWP transformations, determining whether these principles adequately cover all possible transformations within the DIKWP model or if there are gaps that necessitate additional principles.

Approach

  1. Identify All Possible Transformations:

    • Enumerate all transformations between DIKWP elements, including both directions and self-transformations.

    • Total transformations considering both directions: 5×5=255 \times 5 = 255×5=25 transformations.

  2. Map Each Transformation to Applicable TRIZ Principles:

    • For each transformation, identify which TRIZ principles are applicable.

    • Analyze whether the existing principles sufficiently address the transformation.

  3. Assess Completeness:

    • Determine if all transformations are adequately covered.

    • Identify any transformations not fully addressed by the existing principles.

  4. Conclusion and Recommendations:

    • Summarize findings on the completeness of the TRIZ principles.

    • Suggest any additional principles if necessary.

1. Identifying All Possible Transformations

The DIKWP elements are:

  • D: Data

  • I: Information

  • K: Knowledge

  • W: Wisdom

  • P: Purpose

Possible transformations (including self-transformations):

  1. D ↔ D

  2. D ↔ I

  3. D ↔ K

  4. D ↔ W

  5. D ↔ P

  6. I ↔ I

  7. I ↔ K

  8. I ↔ W

  9. I ↔ P

  10. K ↔ K

  11. K ↔ W

  12. K ↔ P

  13. W ↔ W

  14. W ↔ P

  15. P ↔ P

Total transformations: 15 unique pairs (considering bidirectional movement within each pair). However, since each pair can have transformations in both directions, the total number of transformations is 15×2=3015 \times 2 = 3015×2=30, plus the self-transformations (D ↔ D, I ↔ I, etc.).

2. Mapping Transformations to TRIZ Principles

For each transformation, we'll identify applicable TRIZ principles and assess coverage.

Transformation Key:

  • D ↔ D: Data transformations within itself.

  • D → I / I → D: Transformations between Data and Information.

  • D → K / K → D: Transformations between Data and Knowledge.

  • D → W / W → D: Transformations between Data and Wisdom.

  • D → P / P → D: Transformations between Data and Purpose.

  • I ↔ I: Information transformations within itself.

  • I → K / K → I: Transformations between Information and Knowledge.

  • I → W / W → I: Transformations between Information and Wisdom.

  • I → P / P → I: Transformations between Information and Purpose.

  • K ↔ K: Knowledge transformations within itself.

  • K → W / W → K: Transformations between Knowledge and Wisdom.

  • K → P / P → K: Transformations between Knowledge and Purpose.

  • W ↔ W: Wisdom transformations within itself.

  • W → P / P → W: Transformations between Wisdom and Purpose.

  • P ↔ P: Purpose transformations within itself.

Transformation Analysis

We will analyze each transformation, mapping applicable TRIZ principles, and identify any potential gaps.

1. Data (D) ↔ Data (D)

Applicable TRIZ Principles:

  • Principle 1: Segmentation

  • Principle 2: Taking Out

  • Principle 5: Merging

  • Principle 10: Preliminary Action

  • Principle 35: Parameter Changes

Assessment:

  • Coverage: Principles cover data manipulation, restructuring, and preparation.

  • Potential Gaps: None identified.

2. Data (D) ↔ Information (I)

Applicable TRIZ Principles:

  • Principle 3: Local Quality

  • Principle 5: Merging

  • Principle 9: Preliminary Anti-Action

  • Principle 13: The Other Way Round

  • Principle 17: Another Dimension

  • Principle 28: Mechanics Substitution

Assessment:

  • Coverage: Principles address converting data to information through analysis, filtering, and perspective shifts.

  • Potential Gaps: None identified.

3. Data (D) ↔ Knowledge (K)

Applicable TRIZ Principles:

  • Principle 6: Universality

  • Principle 9: Preliminary Anti-Action

  • Principle 24: Intermediary

  • Principle 25: Self-Service

  • Principle 35: Parameter Changes

Assessment:

  • Coverage: Principles cover deriving knowledge from data and using knowledge to guide data collection.

  • Potential Gaps: None identified.

4. Data (D) ↔ Wisdom (W)

Applicable TRIZ Principles:

  • Principle 16: Partial or Excessive Actions

  • Principle 22: Blessing in Disguise

  • Principle 23: Feedback

  • Principle 32: Color Changes

Assessment:

  • Coverage: Principles address applying wisdom to data interpretation and data influencing wisdom.

  • Potential Gaps: None identified.

5. Data (D) ↔ Purpose (P)

Applicable TRIZ Principles:

  • Principle 4: Asymmetry

  • Principle 11: Beforehand Cushioning

  • Principle 15: Dynamics

  • Principle 35: Parameter Changes

Assessment:

  • Coverage: Principles involve purpose-driven data collection and data informing purpose.

  • Potential Gaps: None identified.

6. Information (I) ↔ Information (I)

Applicable TRIZ Principles:

  • Principle 13: The Other Way Round

  • Principle 14: Spheroidality

  • Principle 17: Another Dimension

  • Principle 35: Parameter Changes

Assessment:

  • Coverage: Principles cover reorganizing, restructuring, and reformatting information.

  • Potential Gaps: None identified.

7. Information (I) ↔ Knowledge (K)

Applicable TRIZ Principles:

  • Principle 24: Intermediary

  • Principle 26: Copying

  • Principle 34: Discarding and Recovering

  • Principle 15: Dynamics

Assessment:

  • Coverage: Principles address transforming information into knowledge and vice versa.

  • Potential Gaps: None identified.

8. Information (I) ↔ Wisdom (W)

Applicable TRIZ Principles:

  • Principle 16: Partial or Excessive Actions

  • Principle 22: Blessing in Disguise

  • Principle 23: Feedback

  • Principle 32: Color Changes

Assessment:

  • Coverage: Principles cover applying wisdom to interpret information and information influencing wisdom.

  • Potential Gaps: None identified.

9. Information (I) ↔ Purpose (P)

Applicable TRIZ Principles:

  • Principle 7: Nested Doll

  • Principle 15: Dynamics

  • Principle 31: Porous Materials

  • Principle 35: Parameter Changes

Assessment:

  • Coverage: Principles involve purpose guiding information processing and information shaping purpose.

  • Potential Gaps: None identified.

10. Knowledge (K) ↔ Knowledge (K)

Applicable TRIZ Principles:

  • Principle 26: Copying

  • Principle 34: Discarding and Recovering

  • Principle 15: Dynamics

Assessment:

  • Coverage: Principles address refining and updating knowledge.

  • Potential Gaps: None identified.

11. Knowledge (K) ↔ Wisdom (W)

Applicable TRIZ Principles:

  • Principle 23: Feedback

  • Principle 40: Composite Materials

  • Principle 15: Dynamics

  • Principle 32: Color Changes

Assessment:

  • Coverage: Principles cover knowledge contributing to wisdom and wisdom refining knowledge.

  • Potential Gaps: None identified.

12. Knowledge (K) ↔ Purpose (P)

Applicable TRIZ Principles:

  • Principle 7: Nested Doll

  • Principle 25: Self-Service

  • Principle 31: Porous Materials

  • Principle 35: Parameter Changes

Assessment:

  • Coverage: Principles involve knowledge shaping purpose and purpose guiding knowledge.

  • Potential Gaps: None identified.

13. Wisdom (W) ↔ Wisdom (W)

Applicable TRIZ Principles:

  • Principle 15: Dynamics

  • Principle 23: Feedback

  • Principle 34: Discarding and Recovering

Assessment:

  • Coverage: Principles address the evolution and refinement of wisdom.

  • Potential Gaps: None identified.

14. Wisdom (W) ↔ Purpose (P)

Applicable TRIZ Principles:

  • Principle 7: Nested Doll

  • Principle 34: Discarding and Recovering

  • Principle 15: Dynamics

  • Principle 35: Parameter Changes

Assessment:

  • Coverage: Principles involve wisdom influencing purpose and purpose guiding wisdom development.

  • Potential Gaps: None identified.

15. Purpose (P) ↔ Purpose (P)

Applicable TRIZ Principles:

  • Principle 15: Dynamics

  • Principle 25: Self-Service

  • Principle 34: Discarding and Recovering

  • Principle 35: Parameter Changes

Assessment:

  • Coverage: Principles cover the evolution and self-adjustment of purpose.

  • Potential Gaps: None identified.

Self-Transformations and Multi-Element Interactions

Self-Transformations:

  • D ↔ D, I ↔ I, K ↔ K, W ↔ W, P ↔ P

  • Covered by principles focusing on refinement, restructuring, and adaptation.

Multi-Element Interactions:

  • Complex transformations involving three or more elements.

  • Principles:

    • Principle 15: Dynamics

    • Principle 23: Feedback

    • Principle 24: Intermediary

    • Principle 35: Parameter Changes

    • Principle 40: Composite Materials

Assessment:

  • Coverage: Principles address adaptability, integration, feedback mechanisms, and combining multiple elements.

  • Potential Gaps: None identified.

Identifying Potential Gaps

Analysis:

  • All transformations between DIKWP elements have applicable TRIZ principles.

  • The principles cover key aspects such as:

    • Segmentation, Merging, Parameter Changes: For data manipulation.

    • Intermediary, Dynamics, Feedback: For transformations involving information, knowledge, and wisdom.

    • Nested Doll, Porous Materials, Self-Service: For purpose alignment and evolution.

    • Composite Materials, Blessing in Disguise, Color Changes: For enhancing understanding and innovation.

  • No transformation appears without at least one applicable TRIZ principle.

Potential Overlaps:

  • Some principles apply broadly across multiple transformations (e.g., Principle 35: Parameter Changes).

  • This suggests that the principles are versatile but may also indicate that certain transformations could benefit from more specific strategies.

Conclusion

Completeness of the 40 TRIZ Principles:

  • Adequate Coverage: The existing 40 TRIZ principles provide adequate coverage for all transformations within the DIKWP model.

  • No Major Gaps Identified: All transformations between the DIKWP elements have corresponding TRIZ principles that can guide problem-solving and innovation.

Implications:

  • Versatility of TRIZ Principles: The principles are sufficiently broad and adaptable to address a wide range of transformations.

  • Applicability to Cognitive Processes: The TRIZ principles are effective in modeling and enhancing cognitive transformations within the DIKWP framework.

Recommendations:

  • No Immediate Need for Additional Principles: Given the comprehensive coverage, there is no immediate necessity to introduce new TRIZ principles.

  • Focus on Application: Efforts should be directed toward effectively applying the existing principles to optimize transformations within the DIKWP model.

  • Contextual Adaptation: While the principles are comprehensive, their application should be context-specific, tailoring strategies to the nuances of each transformation.

Possible Areas for Further Exploration

1. Deepening Understanding of Transformations:

  • Contextual Nuances: Examine how the principles can be adapted to specific contexts or industries.

  • Complex Systems: Explore multi-element interactions in more detail, possibly combining principles for synergistic effects.

2. Enhancing Principle Specificity:

  • Refinement of Principles: While the existing principles are broad, refining them to be more specific to cognitive transformations could enhance applicability.

  • Development of Sub-Principles: Creating sub-principles or guidelines under each TRIZ principle tailored to the DIKWP transformations.

3. Integration with Other Methodologies:

  • Combining with Other Frameworks: Integrate the TRIZ principles with other problem-solving or cognitive models for a more holistic approach.

  • Feedback from Practical Application: Apply the mappings in real-world scenarios to gather insights and possibly identify areas where additional strategies are beneficial.

Final Thoughts

The investigation concludes that the 40 TRIZ principles are sufficiently comprehensive to cover all transformations within the DIKWP × DIKWP framework. The principles provide a robust set of strategies that can be effectively applied to model, analyze, and enhance cognitive processes and transformations between Data, Information, Knowledge, Wisdom, and Purpose.

By leveraging these principles, practitioners can systematically approach problem-solving and innovation within the DIKWP model, ensuring that cognitive transformations are optimized and aligned with overarching goals.

Appendix:

Detailed Table Mapping the 40 TRIZ Principles to the DIKWP × DIKWP Transformations

Introduction

In response to your request, I have prepared a comprehensive table that details the mapping between all possible transformations within the DIKWP model and the 40 TRIZ principles. This table aims to:

  • Enumerate all 25 possible transformations between the DIKWP elements, including self-transformations.

  • Map each transformation to applicable TRIZ principles, indicating how the principles can be applied.

  • Identify any potential gaps where transformations may not be fully addressed by existing principles.

Legend

  • DIKWP Elements:

    • D: Data

    • I: Information

    • K: Knowledge

    • W: Wisdom

    • P: Purpose

  • Transformation Direction:

    • A → B: Transformation from element A to element B.

    • A ↔ B: Bidirectional transformation between elements A and B.

    • A ↔ A: Self-transformation within element A.

Table: Mapping DIKWP Transformations to the 40 TRIZ Principles1. Data (D) ↔ Data (D)
TransformationTRIZ Principle(s)Principle NameApplication
D ↔ D1SegmentationBreak down large datasets into smaller, manageable parts for detailed analysis and processing.
D ↔ D2Taking OutExtract or isolate essential data elements to focus on key aspects.
D ↔ D5MergingCombine similar or related datasets to enhance completeness and value.
D ↔ D10Preliminary ActionPrepare data in advance (e.g., data cleansing, normalization) to facilitate smoother processing later on.
D ↔ D35Parameter ChangesModify data parameters (such as scale, units, formats) to improve compatibility and usefulness.
2. Data (D) ↔ Information (I)
TransformationTRIZ Principle(s)Principle NameApplication
D → I3, 17Local Quality, Another DimensionAnalyze specific data subsets (Local Quality) and represent data in different dimensions or formats (Another Dimension) to derive meaningful information.
D → I5MergingCombine data from various sources to create comprehensive information.
D → I9Preliminary Anti-ActionFilter out irrelevant or noisy data before processing to improve information quality.
D → I13The Other Way RoundExamine data from different perspectives to uncover hidden information.
D → I28Mechanics SubstitutionUse automated tools or algorithms to process data into information more efficiently.
3. Data (D) ↔ Knowledge (K)
TransformationTRIZ Principle(s)Principle NameApplication
D → K6UniversalityDerive general principles or theories from specific data sets, creating universal knowledge.
D → K24IntermediaryUtilize models or frameworks as intermediaries to translate data into knowledge.
D → K25Self-ServiceDevelop systems that autonomously generate knowledge from data without human intervention.
D → K35Parameter ChangesAdjust data parameters based on the knowledge requirements to improve relevance and applicability.
K → D9Preliminary Anti-ActionUse existing knowledge to prevent the collection of unnecessary or irrelevant data.
4. Data (D) ↔ Wisdom (W)
TransformationTRIZ Principle(s)Principle NameApplication
D → W16Partial or Excessive ActionsApply wisdom to determine the appropriate extent of data analysis required, avoiding overcomplication or oversimplification.
D → W22Blessing in DisguiseRecognize and utilize unexpected data patterns as opportunities to gain deeper insights.
D → W23FeedbackUse outcomes from data analysis to refine wisdom through continuous learning loops.
D → W32Color ChangesChange the way data is presented (e.g., through visualization techniques) to enhance understanding and facilitate wiser interpretations.
W → D15DynamicsAllow wisdom to guide the adaptation and evolution of data collection methods to better suit changing contexts and needs.
5. Data (D) ↔ Purpose (P)
TransformationTRIZ Principle(s)Principle NameApplication
D → P4AsymmetryPrioritize data collection efforts based on the importance of different purposes, focusing on areas that have the most significant impact.
D → P11Beforehand CushioningPrepare data collection systems in advance to meet anticipated future purposes, ensuring readiness and resilience.
D → P15DynamicsKeep data strategies flexible and adaptable to align with evolving purposes and goals.
D → P35Parameter ChangesAdjust data collection parameters to better serve the defined purposes, enhancing relevance and effectiveness.
P → D25Self-ServiceEnable purposes to autonomously influence data collection processes, optimizing data acquisition without manual intervention.
6. Information (I) ↔ Information (I)
TransformationTRIZ Principle(s)Principle NameApplication
I ↔ I13The Other Way RoundReorganize or reverse the flow of information to gain new perspectives and insights.
I ↔ I14SpheroidalityStructure information in multi-dimensional or interconnected ways (e.g., using concept maps) to reveal relationships and patterns.
I ↔ I17Another DimensionPresent information in different formats or mediums (e.g., visual, auditory) to enhance comprehension and retention.
I ↔ I35Parameter ChangesModify information attributes (such as detail level, format, or language) to improve clarity and accessibility.
7. Information (I) ↔ Knowledge (K)
TransformationTRIZ Principle(s)Principle NameApplication
I → K24IntermediaryUse analytical models or educational frameworks to transform information into knowledge.
I → K26CopyingReplicate successful knowledge structures when organizing new information.
I → K34Discarding and RecoveringEliminate outdated or irrelevant information to refine knowledge bases, ensuring accuracy and relevance.
I → K15DynamicsAllow knowledge structures to evolve in response to new information, maintaining alignment with current understanding.
K → I35Parameter ChangesAdjust how information is presented or processed based on existing knowledge to facilitate better understanding.
8. Information (I) ↔ Wisdom (W)
TransformationTRIZ Principle(s)Principle NameApplication
I → W16Partial or Excessive ActionsApply wisdom to determine the appropriate depth of information processing, avoiding unnecessary complexity or oversimplification.
I → W22Blessing in DisguiseUse wisdom to find valuable insights in unexpected or seemingly irrelevant information.
I → W23FeedbackIncorporate outcomes and experiences to refine wisdom and improve future information interpretation.
I → W32Color ChangesChange information presentation styles to enhance understanding and promote wiser decision-making (e.g., using metaphors or narratives).
W → I15DynamicsWisdom influences the adaptation of information processing methods to better suit evolving contexts and needs.
9. Information (I) ↔ Purpose (P)
TransformationTRIZ Principle(s)Principle NameApplication
I → P7Nested DollAlign information strategies with hierarchical purposes, ensuring consistency from broad objectives to specific goals.
I → P31Porous MaterialsAllow purposes to be influenced and refined by new information, promoting adaptability and responsiveness.
I → P15DynamicsKeep information processing flexible to adapt to changing purposes and priorities.
I → P35Parameter ChangesAdjust information parameters (e.g., scope, detail) to better align with the defined purposes.
P → I25Self-ServiceEnable purposes to autonomously guide information gathering and processing, optimizing relevance and efficiency.
10. Knowledge (K) ↔ Knowledge (K)
TransformationTRIZ Principle(s)Principle NameApplication
K ↔ K26CopyingReplicate effective knowledge frameworks or structures in new domains or contexts to maintain consistency and efficiency.
K ↔ K34Discarding and RecoveringUpdate knowledge bases by removing obsolete concepts and incorporating new findings, ensuring ongoing relevance.
K ↔ K15DynamicsAllow knowledge systems to evolve over time, adapting to new discoveries and changing environments.
K ↔ K35Parameter ChangesModify parameters within knowledge frameworks (e.g., assumptions, methodologies) to enhance accuracy and applicability.
11. Knowledge (K) ↔ Wisdom (W)
TransformationTRIZ Principle(s)Principle NameApplication
K → W23FeedbackUse experiences from applying knowledge to refine wisdom, enhancing judgment and decision-making capabilities.
K → W40Composite MaterialsIntegrate multiple knowledge sources or disciplines to develop a more comprehensive and profound wisdom.
K → W32Color ChangesShift perspectives in applying knowledge to gain new insights and foster deeper understanding.
W → K15DynamicsWisdom guides the evolution of knowledge structures, promoting continuous improvement and adaptation.
12. Knowledge (K) ↔ Purpose (P)
TransformationTRIZ Principle(s)Principle NameApplication
K → P7Nested DollAlign knowledge initiatives with hierarchical purposes, ensuring that knowledge development supports overarching goals.
K → P31Porous MaterialsAllow purposes to be influenced by new knowledge, enabling adaptability and responsiveness to new insights.
K → P25Self-ServiceEmpower knowledge systems to autonomously adjust or set new purposes based on emerging understandings.
P → K35Parameter ChangesAdjust knowledge development parameters (e.g., focus areas, methodologies) to better align with defined purposes.
13. Wisdom (W) ↔ Wisdom (W)
TransformationTRIZ Principle(s)Principle NameApplication
W ↔ W15DynamicsAllow wisdom to evolve over time through reflection, experience, and adaptation to new circumstances.
W ↔ W23FeedbackUse outcomes and experiences to continuously refine wisdom, enhancing judgment and foresight.
W ↔ W34Discarding and RecoveringLet go of outdated beliefs or perspectives to embrace new insights and deeper understanding.
14. Wisdom (W) ↔ Purpose (P)
TransformationTRIZ Principle(s)Principle NameApplication
W → P7Nested DollEnsure that wisdom guides the setting of purposes at various levels, aligning strategic vision with operational goals.
W → P34Discarding and RecoveringAdjust or redefine purposes based on new wisdom to stay relevant and effective in changing contexts.
W → P15DynamicsKeep purposes flexible and adaptable to incorporate evolving wisdom and insights.
P → W35Parameter ChangesModify the focus of wisdom development to better align with current purposes and objectives.
15. Purpose (P) ↔ Purpose (P)
TransformationTRIZ Principle(s)Principle NameApplication
P ↔ P15DynamicsAllow purposes to evolve over time to remain aligned with changing internal and external environments.
P ↔ P25Self-ServiceEnable purposes to self-adjust based on internal criteria or feedback, promoting autonomy and responsiveness.
P ↔ P34Discarding and RecoveringReevaluate and update purposes by discarding obsolete objectives and embracing new goals that reflect current needs and opportunities.
P ↔ P35Parameter ChangesModify parameters within purposes (e.g., scope, priorities) to enhance effectiveness and relevance.
Summary of TRIZ Principles Applied Across DIKWP Transformations

The following table summarizes which TRIZ principles are applied to each transformation, ensuring comprehensive coverage.

TRIZ PrincipleApplicable Transformations
Principle 1D ↔ D
Principle 2D ↔ D, D ↔ K
Principle 3D → I
Principle 4D ↔ P
Principle 5D ↔ D, D → I
Principle 6D → K
Principle 7I ↔ P, K ↔ P, W ↔ P
Principle 9D → I, D ↔ K
Principle 10D ↔ D
Principle 11D ↔ P
Principle 13D → I, I ↔ I
Principle 14I ↔ I
Principle 15D ↔ P, I ↔ P, K ↔ K, W ↔ W, W ↔ P, Multi-element interactions
Principle 16D → W, I → W
Principle 17D → I, I ↔ I
Principle 22D → W, I → W
Principle 23D → W, K → W, W ↔ W
Principle 24D → K, I → K, Multi-element interactions
Principle 25D ↔ P, K ↔ P, P ↔ P
Principle 26I → K, K ↔ K
Principle 28D → I
Principle 31I ↔ P, K ↔ P
Principle 32D → W, I → W, K → W
Principle 34I → K, K ↔ K, W ↔ W, W ↔ P, P ↔ P
Principle 35D ↔ D, D ↔ P, I ↔ I, I ↔ K, K ↔ K, K ↔ P, W ↔ P, P ↔ P, Multi-element interactions
Principle 40K → W, Multi-element interactions
Analysis of Completeness

  • All DIKWP Transformations Covered: Each transformation between DIKWP elements has been mapped to relevant TRIZ principles.

  • No Gaps Identified: There are no transformations without applicable TRIZ principles, indicating comprehensive coverage.

  • Principle Versatility: Some principles, such as Principle 15: Dynamics and Principle 35: Parameter Changes, are widely applicable across multiple transformations, highlighting their versatility.

The detailed table demonstrates that the existing 40 TRIZ principles sufficiently cover all possible transformations within the DIKWP × DIKWP framework. Each transformation between Data, Information, Knowledge, Wisdom, and Purpose can be addressed using one or more TRIZ principles, providing strategic guidance for optimizing cognitive processes and problem-solving.

This comprehensive mapping confirms the adequacy of the TRIZ principles in enhancing understanding and facilitating innovation within the DIKWP model. Practitioners can utilize this table as a reference to apply appropriate TRIZ principles to specific transformations, ensuring a systematic and effective approach to cognitive development and problem-solving.

Here's a concise 5×5 table mapping the transformations between the DIKWP elements—Data (D), Information (I), Knowledge (K), Wisdom (W), and Purpose (P)—and the applicable TRIZ principles (represented by their principle numbers). Each cell at row "From" and column "To" lists the TRIZ principles applicable to the transformation from the row element to the column element.

DIKWP Transformations Mapped to TRIZ Principles
From → ToDIKWP
D1, 2, 5, 10, 353, 5, 9, 13, 17, 286, 9, 24, 25, 3516, 22, 23, 324, 11, 15, 35
I2, 3513, 14, 17, 3515, 24, 26, 3416, 22, 23, 327, 15, 31, 35
K9, 25, 3515, 24, 3515, 26, 34, 3515, 23, 32, 407, 25, 31, 35
W15, 16, 2315, 321515, 23, 347, 15, 34, 35
P4, 11, 25, 357, 25, 31, 357, 25, 3515, 3515, 25, 34, 35
Legend:

  • DIKWP Elements:

    • D: Data

    • I: Information

    • K: Knowledge

    • W: Wisdom

    • P: Purpose

  • TRIZ Principles (by number):

    1. Segmentation

    2. Taking Out

    3. Local Quality

    4. Asymmetry

    5. Merging

    6. Universality

    7. "Nested Doll"

    8. Preliminary Anti-Action

    9. Preliminary Action

    10. Beforehand Cushioning

    11. The Other Way Round

    12. Spheroidality

    13. Dynamics

    14. Partial or Excessive Actions

    15. Another Dimension

    16. "Blessing in Disguise"

    17. Feedback

    18. Intermediary

    19. Self-Service

    20. Copying

    21. Mechanics Substitution

    22. Porous Materials

    23. Color Changes

    24. Discarding and Recovering

    25. Parameter Changes

    26. Composite Materials

How to Read the Table:

  • Rows represent the "From" element (starting point of the transformation).

  • Columns represent the "To" element (resulting element after transformation).

  • Cell Values list the TRIZ principles applicable to the transformation from the row element to the column element.

    • For example, the cell at row D and column I lists principles 3, 5, 9, 13, 17, 28, which are applicable to transforming Data (D) into Information (I).

Example Interpretations:

  • Transforming Data to Information (D → I):

    • 3. Local Quality: Focus on specific data subsets to extract detailed information.

    • 5. Merging: Combine data sources to form comprehensive information.

    • 9. Preliminary Anti-Action: Filter out irrelevant data before processing.

    • 13. The Other Way Round: Analyze data from different perspectives.

    • 17. Another Dimension: Represent data in multiple dimensions for better insight.

    • 28. Mechanics Substitution: Use automated methods for data processing.

    • Principles Applied: 3, 5, 9, 13, 17, 28

  • Transforming Wisdom to Purpose (W → P):

    • 7. "Nested Doll": Align wisdom at different levels to define layered purposes.

    • 15. Dynamics: Keep purposes flexible to incorporate evolving wisdom.

    • 34. Discarding and Recovering: Reevaluate and adjust purposes based on new wisdom.

    • 35. Parameter Changes: Modify purpose parameters in response to enhanced wisdom.

    • Principles Applied: 7, 15, 34, 35

Feel free to refer to the legend for explanations of each TRIZ principle. This concise table provides a quick reference to understand how each element of the DIKWP model can be transformed into another using specific inventive principles.



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