An Intuitionistic Extension of the Simple WISP Method

Area of Science:

• Decision Sciences
• Fuzzy Set Theory
• Operations Research

Background:

• Traditional decision-making methods often struggle with uncertainty and vagueness.
• Intuitionistic fuzzy sets offer a more robust framework for handling imprecise information.
• The Integrated Simple Weighted Sum-Product (WISP) method is a valuable tool for multi-criteria decision analysis.

Purpose of the Study:

• To extend the Integrated Simple Weighted Sum-Product (WISP) method for application with intuitionistic numbers.
• To leverage intuitionistic fuzzy sets for enhanced complex decision-making capabilities.
• To demonstrate the practical utility of the extended WISP method in a real-world scenario.

Main Methods:

• Development of a novel extension of the WISP method incorporating intuitionistic fuzzy set properties.
• Application of the extended WISP method to a contractor selection problem.
• Comparative analysis (implied) of the extended method's performance against existing approaches.

Main Results:

• The proposed extension effectively integrates intuitionistic numbers into the WISP decision-making framework.
• The method successfully handles the inherent uncertainty and imprecision in the contractor selection example.
• Demonstrated the feasibility and effectiveness of the adapted WISP method for complex problems.

Conclusions:

• The extended WISP method provides a powerful new tool for decision-making with intuitionistic data.
• Intuitionistic fuzzy sets significantly enhance the capability of WISP for complex, uncertain environments.
• The contractor selection case study validates the practical applicability and robustness of the proposed methodology.