A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
A genetic algorithm methodology for data mining and intelligent knowledge acquisition
Computers and Industrial Engineering
An evolutionary technique based on K-means algorithm for optimal clustering in RN
Information Sciences—Applications: An International Journal
A fuzzy closeness approach to fuzzy multi-attribute decision making
Fuzzy Optimization and Decision Making
A DS-AHP approach for multi-attribute decision making problem with incomplete information
Expert Systems with Applications: An International Journal
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Paper: Rating and ranking of multiple-aspect alternatives using fuzzy sets
Automatica (Journal of IFAC)
Hi-index | 12.05 |
This paper proposes a new multi-perspective framework for multi-attribute decision making, and illustrates its mathematical descriptions and procedure. The main steps of the procedure are: construct the attribute set; construct the evaluation object set; construct evaluation perspectives with corresponding attributes and weights; select evaluation algorithms for different perspectives; and carry out cluster analysis on the multidimensional evaluation results. This framework can effectively solve the problem of attribute overlapping of different perspectives and proper algorithms can be applied to different perspectives according to their characteristics. Based on the business data of a tobacco company, a customer evaluation system is designed according to this framework. Results show that the framework is effective and practical.