A new web-based framework development for fuzzy multi-criteria group decision-making

Area of Science:

• Operations Research
• Decision Science
• Computational Intelligence

Background:

• Fuzzy multi-criteria group decision making (FMCGDM) is crucial for handling imprecise data in group problem-solving.
• Traditional FMCGDM methods often involve extensive computations, hindering efficiency.
• A need exists for streamlined, reliable tools to support group decision-making processes.

Purpose of the Study:

• To develop and present a web-based framework for FMCGDM.
• To integrate established methods like fuzzy Delphi, fuzzy AHP, and fuzzy TOPSIS.
• To provide a fast and reliable decision support service for groups.

Main Methods:

• Development of an integrated web-based framework for FMCGDM.
• Incorporation of fuzzy Delphi, fuzzy Analytic Hierarchy Process (AHP), and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods.
• Application of the framework in a real-world case study for landfill waste location selection.

Main Results:

• The proposed framework successfully integrates multiple FMCGDM techniques.
• The web-based system demonstrated efficiency and reliability in processing complex decision problems.
• A case study on landfill site selection in Morocco validated the framework's practical utility.

Conclusions:

• The developed web-based FMCGDM framework significantly enhances decision-making speed and reliability.
• Integration of diverse fuzzy decision-making tools offers synergistic benefits.
• The framework provides a valuable tool for complex group decision-making scenarios, as evidenced by the landfill selection case study.