Short answer
Integrate fuzzy logic and advanced multi-criteria decision-making techniques to create comprehensive assessment frameworks for complex sustainability challenges.
- Field
- Sustainability
- Source
- Sustainability (2025)
- Method
- Hybrid Decision-Making Model (Fuzzy AHP and Grey Relational TOPSIS)
- Sample
- 7 tourist regions
- Evidence
- Strong effect
A novel hybrid decision-making model effectively assesses and ranks the sustainable development of tourism regions by integrating fuzzy logic for subjective indicator weighting and an enhanced TOPSIS method for handling complex, multi-dimensional data. This sustainability research insight is drawn from a 2025 study published in Sustainability. Using Hybrid decision-making model (fuzzy ahp and grey relational topsis) with 7 tourist regions, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate fuzzy logic and advanced multi-criteria decision-making techniques to create comprehensive assessment frameworks for complex sustainability challenges.
Hybrid Fuzzy AHP-TOPSIS Model Quantifies Sustainable Tourism Development
A novel hybrid decision-making model effectively assesses and ranks the sustainable development of tourism regions by integrating fuzzy logic for subjective indicator weighting and an enhanced TOPSIS method for handling complex, multi-dimensional data.
Sustainability · 2025
Key Findings
- 01The hybrid Fuzzy AHP-GR-TOPSIS model can effectively assess and rank sustainable tourism development.
- 02Tourism Revenue Contribution was identified as the most important indicator (weight: 0.189).
- 03Lijiang Qinghsui (P4) achieved the highest sustainable development level (hybrid closeness: 0.693).
Application
Design takeaway
Integrate fuzzy logic and advanced multi-criteria decision-making techniques to create comprehensive assessment frameworks for complex sustainability challenges.
How to apply
Use this hybrid model to assess the sustainability of various industries or projects by adapting the indicator system and data inputs.
Project actions
- 01When evaluating complex systems, consider using hybrid models that combine different analytical techniques.
- 02Clearly define your indicators and their positive/negative impacts on the system being studied.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Addresses ambiguity and subjectivity in indicator weighting.
- +Integrates multiple evaluation criteria into a single ranking system.
- +Provides a quantitative basis for decision-making.
Limitations
Data collection for all indicators can be challenging. The complexity of the model might require significant computational resources or specialized software.
Reliability & validity
The reliability of the model depends on the consistency of expert judgments in the Fuzzy AHP phase and the robustness of the Grey Relational TOPSIS calculations. Validity is supported by the logical framework and the application to real-world cases, though external validation with different datasets would strengthen it.
Think critically
How might the cultural context of different tourist regions influence the perception and importance of the 'culture' dimension in sustainable development, and how could this be better accounted for in the evaluation model?
Design Principles
"Employ hybrid decision-making models to address ambiguity and subjectivity in evaluating complex systems."
This approach provides a robust framework for evaluating the multifaceted impacts of tourism, enabling informed decision-making for regional development. By quantifying sustainability levels, stakeholders can identify areas for improvement and implement targeted strategies to foster more responsible and resilient tourism practices.
What This Means for Your Design
This research created a smart way to measure how 'green' and good for people and culture a tourist place is, using math that can handle fuzzy ideas and comparing different places to see which is the best.
How to use in your project
- 1.This research provides a methodological framework for evaluating complex design problems using multi-criteria decision analysis, which can be adapted for assessing design solutions.
Add to My Project
Quick Cite
Paragraph starter
The study 'Assessing the Sustainable Development of the Tourism Industry Based on Fuzzy AHP and Grey Relational TOPSIS' by Yang et al. (2025) offers a robust methodology for evaluating complex systems. Their hybrid approach, combining Fuzzy AHP for subjective weighting and Grey Relational TOPSIS for ranking, provides a quantitative basis for decision-making in sustainability assessments, which can be adapted to evaluate design solutions based on multiple criteria.
Source
Sustainability
Assessing the Sustainable Development of the Tourism Industry Based on Fuzzy AHP and Grey Relational TOPSIS
journal · 2025
View sourceQuestions About This Research
- What does the research say about hybrid fuzzy ahp-topsis model quantifies sustainable tourism development?
- Integrate fuzzy logic and advanced multi-criteria decision-making techniques to create comprehensive assessment frameworks for complex sustainability challenges. Evidence: Sustainability (2025).
- Why does "Hybrid Fuzzy AHP-TOPSIS Model Quantifies Sustainable Tourism Development" matter for design?
- This approach provides a robust framework for evaluating the multifaceted impacts of tourism, enabling informed decision-making for regional development. By quantifying sustainability levels, stakeholders can identify areas for improvement and implement targeted strategies to foster more responsible and resilient tourism practices.
- How can designers apply this research?
- Integrate fuzzy logic and advanced multi-criteria decision-making techniques to create comprehensive assessment frameworks for complex sustainability challenges.
- What were the main findings?
- The hybrid Fuzzy AHP-GR-TOPSIS model can effectively assess and rank sustainable tourism development.. Tourism Revenue Contribution was identified as the most important indicator (weight: 0.189).. Lijiang Qinghsui (P4) achieved the highest sustainable development level (hybrid closeness: 0.693).
- What research method was used?
- Hybrid Decision-Making Model (Fuzzy AHP and Grey Relational TOPSIS) with 7 tourist regions.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Sustainability.
- What should I do differently in my next project?
- Use this hybrid model to assess the sustainability of various industries or projects by adapting the indicator system and data inputs.
- What are the limitations?
- The model's performance is dependent on the quality and availability of data for the selected indicators. The subjective nature of fuzzy judgments can still introduce some level of bias, despite consistency checks.