Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection

• Main Author: Daniel Osezua Aikhuele
• Format: Article
• Language: English
• Published: Growing Science 2017-09-01
• Series: Management Science Letters
• Subjects: Interval-valued intuitionistic fuzzy set; Modified-TOPSIS model; FAHP; Multi-criteria decision-making; Design concept; Design concept evaluation
• Online Access: http://www.growingscience.com/msl/Vol7/msl_2017_22.pdf

This paper presents a new approach for design concept selection by using an integrated Fuzzy Analytical Hierarchy Process (FAHP) and an Interval-valued intuitionistic fuzzy modified TOP-SIS (IVIF-modified TOPSIS) model. The integrated model which uses the improved score func-tion and a weighted normalized Euclidean distance method for the calculation of the separation measures of alternatives from the positive and negative intuitionistic ideal solutions provides a new approach for the computation of intuitionistic fuzzy ideal solutions. The results of the two approaches are integrated using a reflection defuzzification integration formula. To ensure the feasibility and the rationality of the integrated model, the method is successfully applied for eval-uating and selecting some design related problems including a real-life case study for the selec-tion of the best concept design for a new printed-circuit-board (PCB) and for a hypothetical ex-ample. The model which provides a novel alternative, has been compared with similar computa-tional methods in the literature.