A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments
TOPSIS and VIKOR are two well-known and widely-used multiple attribute decision making methods. Many extensions of these methods have been proposed that either use different techniques to rank alternatives or utilize fuzzy logic to ...
Tropical implementation of the Analytical Hierarchy Process decision method
We apply methods and techniques of tropical optimization to develop a new theoretical and computational framework for the implementation of the Analytic Hierarchy Process in multi-criteria problems of rating alternatives from pairwise ...
The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, ...
Fuzzy levels of preference strength in a graph model with multiple decision makers
- A new preference structure is designed for modeling complex preferences.
- This ...
A new hybrid preference structure combining multiple-level strength of preference and fuzzy preference is proposed to facilitate the modeling and analysis of strategic conflicts involving multiple decision makers (DMs) with complex ...
Data-driven fuzzy preference analysis from an optimization perspective
How to leverage massive online data to understand consumer preferences over products and services has accumulated significant attention in business. In this paper, we analyze consumer preferences by modeling it as a decision-making ...
Extended Tsukamoto's inference method for solving multi-objective linguistic optimization problems
Multi-objective linguistic optimization problems (MOLOPs) are quite useful in modeling a number of real life problems. The decision variables used to define the problem constraints and the objective functions take linguistic values in ...
A fuzzy robustness measure for the scheduling of commissioned product development projects
Due to a considerable degree of uncertainty, the generation of robust schedules for the execution of product development projects is a crucial planning task. In the area of robust project scheduling, one basic option is to apply ...