Earticle

초록

영어

The type-2 fuzzy sets (T2FSs) provide us additional degrees of freedom to represent the uncertainty and the fuzziness of the real world. As a special kind of T2FSs, interval type-2 fuzzy sets (IT2FSs), whose operations are much simpler than the ones of general T2FSs. So the research of IT2FSs has become a hot topic in decision-making field in recent years. In this paper, firstly, we introduce the operational laws of IT2FSs, and propose a distance measure of IT2FSs. Secondly, we present a novel approach for handling multiple attributes decision-making problems with IT2FSs, on base of the idea of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The method proposed is more practical and flexible because it not only consider the importance weights, but also reflect the decision strategies that both are essential to different decision makers for choosing different decision tactics. Finally, a numerical example of service quality assessment is used to verify the effectiveness of the presented approach.

목차

Abstract
 1. Introduction
 2. Interval Type-2 Fuzzy Sets
 3. Distance Measure for IT2FS
 4. TOPSIS Method
 5. An IT2F-TOPSIS Method for Handing MADM Problems
 6. Numerical Example
 7. Conclusions
 References

키워드

저자

• Caixia Yang [ School of Economics and Management, Harbin Engineering University, Harbin, China, School of Management, Harbin University of Science and Technology, Harbin, China ]
• Wei Chen [ School of Economics and Management, Harbin Engineering University, Harbin, China ]
• Ding-Hong Peng [ Institute of Quality Development, Kunming University of Science and Technology, Kunming China, School of Management, Harbin University of Science and Technology, Harbin, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605