Earticle

초록

영어

Similarity measures of fuzzy numbers have been widely applied in various areas. In the last decade, many similarity measures of generalized fuzzy numbers were proposed. However, there are two main limitations in existing similarity measures: 1) they cannot correctly calculate the degree of similarity between two generalized trapezoidal fuzzy numbers in some cases; and 2) the definitions of recently developed similarity measures are complicated and difficult to interpret. In this paper, a novel approach to similarity measurement between generalized trapezoidal fuzzy numbers is proposed. The proposed similarity measure has a simple definition and is easier to understand intuitively. Furthermore, we analyze its properties and compare it with existing similarity measures. The results show that the proposed measure outperforms existing similarity measures. Finally, we apply the proposed similarity measure to develop a fuzzy-logic-based approach for new product go/nogo decision-making at the front end. The proposed fuzzy software quality evaluation method is more flexible and more intelligent than existing methods due to the fact that it considers the degrees of confidence of evaluators’ opinions.

목차

Abstract
 1. Introduction
 2. Preliminaries
  2.1. Generalized Fuzzy Numbers
  2.2. Existing Similarity Measures between Generalized Fuzzy Numbers
 3. Proposed Similarity Measure and its Properties
  3.1. Similarity Measure between a Pair Of Components in Two Fuzzy Numbers
  3.2. Similarity Measure between Generalized Trapezoidal Fuzzy Numbers
 4. Numerical Comparisons with Previous Works
 5. Application to New Product Go/Nogo Decision-Making
 6. Conclusions
 Acknowledgment
 References

키워드

저자

• Yixiang Zhou [ Zhejiang Shuren University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605