SM Zhou, JQ Gan - Fuzzy sets and systems, 2008 - Elsevier
This paper aims at providing an in-depth overview of designing interpretable fuzzy inference models from data within a unified framework. The objective of complex system modelling is …
The aim of this paper is to extend the TOPSIS to the fuzzy environment. Owing to vague concepts frequently represented in decision data, the crisp value are inadequate to model …
In this first chapter of Part I, we discuss families of fuzzy implications obtained from binary operations on the unit interval [0, 1], ie, from basic fuzzy logic connectives, viz., t-norms, t …
L Dengfeng, C Chuntian - Pattern recognition letters, 2002 - Elsevier
The concept of an intuitionistic fuzzy set (IFS), which is a generalization of the concept of a fuzzy set (FS), has been introduced by K. Atanassov. Although many measures of similarity …
Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relatively well …
In this paper, a method is proposed for aggregating individual fuzzy opinions into a group fuzzy consensus opinion. This paper presents a procedure for aggregating the expert …
Accurate definitions of phenomena are essential to any scientific enterprise. A definition of violence should be fully capable of accounting for the exclusion of behaviors such as …
Measures of similarity between vague sets Page 1 ELSEVIER Fuzzy Sets and Systems 74 (1995) 217-223 FUZZY sets and systems Measures of similarity between vague sets Shyi-Ming Chen …
DH Hong, C Kim - Information sciences, 1999 - Elsevier
Recently, Chen (Fuzzy Sets and Systems 74 (2)(1995) 217–223; IEEE Trans. Syst. Man and Cybern., 27 (1)(1997) 153–158) proposed a set of methods for measuring the degree of …