Similarity measures for interval-valued intuitionistic fuzzy soft sets and its application in medical diagnosis problem

Autor:	MUKHERJEE, Anjan, SARKAR, Sadhan
Rok vydání:	2015
Předmět:	ComputingMethodologies_PATTERNRECOGNITION Mathematics::General Mathematics Soft set intuitionistic fuzzy set interval-valued fuzzy soft set interval-valued intuitionistic fuzzy soft set Similarity Measure
Zdroj:	Volume: 2, Issue: 3 159-165 New Trends in Mathematical Sciences
ISSN:	2147-5520
Popis:	Similarity measure is an important topic in fuzzy set theory (L. A. Zadeh, 1965). Similarity measure of fuzzy sets is now being extensively applied in many research fields such as fuzzy clustering, image processing, fuzzy reasoning, fuzzy neural network, pattern recognition, medical diagnosis, game theory, coding theory and several problems that contain uncertainties. The aim of this paper is to introduce the concept of similarity measure for interval-valued intuitionistic fuzzy soft sets based on set theoretic approach, some examples and basic properties are also studied. Lastly an application in a medical diagnosis problem is illustrated
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=tubitakulakb::cef534af26ce11d2b37a6a7dc277639d https://dergipark.org.tr/tr/pub/ntims/issue/24562/260128 Zobrazit plný text záznamu