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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.
ApproachIdentify 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.
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.
Assess Completeness:
Determine if all transformations are adequately covered.
Identify any transformations not fully addressed by the existing principles.
Conclusion and Recommendations:
Summarize findings on the completeness of the TRIZ principles.
Suggest any additional principles if necessary.
The DIKWP elements are:
D: Data
I: Information
K: Knowledge
W: Wisdom
P: Purpose
Possible transformations (including self-transformations):
D ↔ D
D ↔ I
D ↔ K
D ↔ W
D ↔ P
I ↔ I
I ↔ K
I ↔ W
I ↔ P
K ↔ K
K ↔ W
K ↔ P
W ↔ W
W ↔ P
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 PrinciplesFor 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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.
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
D ↔ D | 1 | Segmentation | Break down large datasets into smaller, manageable parts for detailed analysis and processing. |
D ↔ D | 2 | Taking Out | Extract or isolate essential data elements to focus on key aspects. |
D ↔ D | 5 | Merging | Combine similar or related datasets to enhance completeness and value. |
D ↔ D | 10 | Preliminary Action | Prepare data in advance (e.g., data cleansing, normalization) to facilitate smoother processing later on. |
D ↔ D | 35 | Parameter Changes | Modify data parameters (such as scale, units, formats) to improve compatibility and usefulness. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
D → I | 3, 17 | Local Quality, Another Dimension | Analyze specific data subsets (Local Quality) and represent data in different dimensions or formats (Another Dimension) to derive meaningful information. |
D → I | 5 | Merging | Combine data from various sources to create comprehensive information. |
D → I | 9 | Preliminary Anti-Action | Filter out irrelevant or noisy data before processing to improve information quality. |
D → I | 13 | The Other Way Round | Examine data from different perspectives to uncover hidden information. |
D → I | 28 | Mechanics Substitution | Use automated tools or algorithms to process data into information more efficiently. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
D → K | 6 | Universality | Derive general principles or theories from specific data sets, creating universal knowledge. |
D → K | 24 | Intermediary | Utilize models or frameworks as intermediaries to translate data into knowledge. |
D → K | 25 | Self-Service | Develop systems that autonomously generate knowledge from data without human intervention. |
D → K | 35 | Parameter Changes | Adjust data parameters based on the knowledge requirements to improve relevance and applicability. |
K → D | 9 | Preliminary Anti-Action | Use existing knowledge to prevent the collection of unnecessary or irrelevant data. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
D → W | 16 | Partial or Excessive Actions | Apply wisdom to determine the appropriate extent of data analysis required, avoiding overcomplication or oversimplification. |
D → W | 22 | Blessing in Disguise | Recognize and utilize unexpected data patterns as opportunities to gain deeper insights. |
D → W | 23 | Feedback | Use outcomes from data analysis to refine wisdom through continuous learning loops. |
D → W | 32 | Color Changes | Change the way data is presented (e.g., through visualization techniques) to enhance understanding and facilitate wiser interpretations. |
W → D | 15 | Dynamics | Allow wisdom to guide the adaptation and evolution of data collection methods to better suit changing contexts and needs. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
D → P | 4 | Asymmetry | Prioritize data collection efforts based on the importance of different purposes, focusing on areas that have the most significant impact. |
D → P | 11 | Beforehand Cushioning | Prepare data collection systems in advance to meet anticipated future purposes, ensuring readiness and resilience. |
D → P | 15 | Dynamics | Keep data strategies flexible and adaptable to align with evolving purposes and goals. |
D → P | 35 | Parameter Changes | Adjust data collection parameters to better serve the defined purposes, enhancing relevance and effectiveness. |
P → D | 25 | Self-Service | Enable purposes to autonomously influence data collection processes, optimizing data acquisition without manual intervention. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
I ↔ I | 13 | The Other Way Round | Reorganize or reverse the flow of information to gain new perspectives and insights. |
I ↔ I | 14 | Spheroidality | Structure information in multi-dimensional or interconnected ways (e.g., using concept maps) to reveal relationships and patterns. |
I ↔ I | 17 | Another Dimension | Present information in different formats or mediums (e.g., visual, auditory) to enhance comprehension and retention. |
I ↔ I | 35 | Parameter Changes | Modify information attributes (such as detail level, format, or language) to improve clarity and accessibility. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
I → K | 24 | Intermediary | Use analytical models or educational frameworks to transform information into knowledge. |
I → K | 26 | Copying | Replicate successful knowledge structures when organizing new information. |
I → K | 34 | Discarding and Recovering | Eliminate outdated or irrelevant information to refine knowledge bases, ensuring accuracy and relevance. |
I → K | 15 | Dynamics | Allow knowledge structures to evolve in response to new information, maintaining alignment with current understanding. |
K → I | 35 | Parameter Changes | Adjust how information is presented or processed based on existing knowledge to facilitate better understanding. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
I → W | 16 | Partial or Excessive Actions | Apply wisdom to determine the appropriate depth of information processing, avoiding unnecessary complexity or oversimplification. |
I → W | 22 | Blessing in Disguise | Use wisdom to find valuable insights in unexpected or seemingly irrelevant information. |
I → W | 23 | Feedback | Incorporate outcomes and experiences to refine wisdom and improve future information interpretation. |
I → W | 32 | Color Changes | Change information presentation styles to enhance understanding and promote wiser decision-making (e.g., using metaphors or narratives). |
W → I | 15 | Dynamics | Wisdom influences the adaptation of information processing methods to better suit evolving contexts and needs. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
I → P | 7 | Nested Doll | Align information strategies with hierarchical purposes, ensuring consistency from broad objectives to specific goals. |
I → P | 31 | Porous Materials | Allow purposes to be influenced and refined by new information, promoting adaptability and responsiveness. |
I → P | 15 | Dynamics | Keep information processing flexible to adapt to changing purposes and priorities. |
I → P | 35 | Parameter Changes | Adjust information parameters (e.g., scope, detail) to better align with the defined purposes. |
P → I | 25 | Self-Service | Enable purposes to autonomously guide information gathering and processing, optimizing relevance and efficiency. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
K ↔ K | 26 | Copying | Replicate effective knowledge frameworks or structures in new domains or contexts to maintain consistency and efficiency. |
K ↔ K | 34 | Discarding and Recovering | Update knowledge bases by removing obsolete concepts and incorporating new findings, ensuring ongoing relevance. |
K ↔ K | 15 | Dynamics | Allow knowledge systems to evolve over time, adapting to new discoveries and changing environments. |
K ↔ K | 35 | Parameter Changes | Modify parameters within knowledge frameworks (e.g., assumptions, methodologies) to enhance accuracy and applicability. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
K → W | 23 | Feedback | Use experiences from applying knowledge to refine wisdom, enhancing judgment and decision-making capabilities. |
K → W | 40 | Composite Materials | Integrate multiple knowledge sources or disciplines to develop a more comprehensive and profound wisdom. |
K → W | 32 | Color Changes | Shift perspectives in applying knowledge to gain new insights and foster deeper understanding. |
W → K | 15 | Dynamics | Wisdom guides the evolution of knowledge structures, promoting continuous improvement and adaptation. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
K → P | 7 | Nested Doll | Align knowledge initiatives with hierarchical purposes, ensuring that knowledge development supports overarching goals. |
K → P | 31 | Porous Materials | Allow purposes to be influenced by new knowledge, enabling adaptability and responsiveness to new insights. |
K → P | 25 | Self-Service | Empower knowledge systems to autonomously adjust or set new purposes based on emerging understandings. |
P → K | 35 | Parameter Changes | Adjust knowledge development parameters (e.g., focus areas, methodologies) to better align with defined purposes. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
W ↔ W | 15 | Dynamics | Allow wisdom to evolve over time through reflection, experience, and adaptation to new circumstances. |
W ↔ W | 23 | Feedback | Use outcomes and experiences to continuously refine wisdom, enhancing judgment and foresight. |
W ↔ W | 34 | Discarding and Recovering | Let go of outdated beliefs or perspectives to embrace new insights and deeper understanding. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
W → P | 7 | Nested Doll | Ensure that wisdom guides the setting of purposes at various levels, aligning strategic vision with operational goals. |
W → P | 34 | Discarding and Recovering | Adjust or redefine purposes based on new wisdom to stay relevant and effective in changing contexts. |
W → P | 15 | Dynamics | Keep purposes flexible and adaptable to incorporate evolving wisdom and insights. |
P → W | 35 | Parameter Changes | Modify the focus of wisdom development to better align with current purposes and objectives. |
Transformation | TRIZ Principle(s) | Principle Name | Application |
---|---|---|---|
P ↔ P | 15 | Dynamics | Allow purposes to evolve over time to remain aligned with changing internal and external environments. |
P ↔ P | 25 | Self-Service | Enable purposes to self-adjust based on internal criteria or feedback, promoting autonomy and responsiveness. |
P ↔ P | 34 | Discarding and Recovering | Reevaluate and update purposes by discarding obsolete objectives and embracing new goals that reflect current needs and opportunities. |
P ↔ P | 35 | Parameter Changes | Modify parameters within purposes (e.g., scope, priorities) to enhance effectiveness and relevance. |
The following table summarizes which TRIZ principles are applied to each transformation, ensuring comprehensive coverage.
TRIZ Principle | Applicable Transformations |
---|---|
Principle 1 | D ↔ D |
Principle 2 | D ↔ D, D ↔ K |
Principle 3 | D → I |
Principle 4 | D ↔ P |
Principle 5 | D ↔ D, D → I |
Principle 6 | D → K |
Principle 7 | I ↔ P, K ↔ P, W ↔ P |
Principle 9 | D → I, D ↔ K |
Principle 10 | D ↔ D |
Principle 11 | D ↔ P |
Principle 13 | D → I, I ↔ I |
Principle 14 | I ↔ I |
Principle 15 | D ↔ P, I ↔ P, K ↔ K, W ↔ W, W ↔ P, Multi-element interactions |
Principle 16 | D → W, I → W |
Principle 17 | D → I, I ↔ I |
Principle 22 | D → W, I → W |
Principle 23 | D → W, K → W, W ↔ W |
Principle 24 | D → K, I → K, Multi-element interactions |
Principle 25 | D ↔ P, K ↔ P, P ↔ P |
Principle 26 | I → K, K ↔ K |
Principle 28 | D → I |
Principle 31 | I ↔ P, K ↔ P |
Principle 32 | D → W, I → W, K → W |
Principle 34 | I → K, K ↔ K, W ↔ W, W ↔ P, P ↔ P |
Principle 35 | D ↔ D, D ↔ P, I ↔ I, I ↔ K, K ↔ K, K ↔ P, W ↔ P, P ↔ P, Multi-element interactions |
Principle 40 | K → W, Multi-element interactions |
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.
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 PrinciplesFrom → To | D | I | K | W | P |
---|---|---|---|---|---|
D | 1, 2, 5, 10, 35 | 3, 5, 9, 13, 17, 28 | 6, 9, 24, 25, 35 | 16, 22, 23, 32 | 4, 11, 15, 35 |
I | 2, 35 | 13, 14, 17, 35 | 15, 24, 26, 34 | 16, 22, 23, 32 | 7, 15, 31, 35 |
K | 9, 25, 35 | 15, 24, 35 | 15, 26, 34, 35 | 15, 23, 32, 40 | 7, 25, 31, 35 |
W | 15, 16, 23 | 15, 32 | 15 | 15, 23, 34 | 7, 15, 34, 35 |
P | 4, 11, 25, 35 | 7, 25, 31, 35 | 7, 25, 35 | 15, 35 | 15, 25, 34, 35 |
DIKWP Elements:
D: Data
I: Information
K: Knowledge
W: Wisdom
P: Purpose
TRIZ Principles (by number):
Segmentation
Taking Out
Local Quality
Asymmetry
Merging
Universality
"Nested Doll"
Preliminary Anti-Action
Preliminary Action
Beforehand Cushioning
The Other Way Round
Spheroidality
Dynamics
Partial or Excessive Actions
Another Dimension
"Blessing in Disguise"
Feedback
Intermediary
Self-Service
Copying
Mechanics Substitution
Porous Materials
Color Changes
Discarding and Recovering
Parameter Changes
Composite Materials
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).
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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