The New Similarity Measure and Distance Measure of a Hesitant Fuzzy Linguistic Term Set Based on a Linguistic Scale Function

A similarity measure based on semantic, terminological and linguistic information

Introduction The fundamental task of ontology matching is based on measuring the similarity between two ontology concepts [1]. However, we argue that a deeper semantic, terminological and linguistic analysis of specialized domain vocabularies is needed in order to establish a more sophisticated similarity measure that caters for the specific characteristics of this data. In particular we propos...

Some properties of a new fuzzy distance measure

Ranking of generalized fuzzy numbers using distance measure and similarity measure

Distance Measure and Correlation Coefficient for Linguistic Hesitant Fuzzy Sets and Their Application

Jian GUAN, Dao ZHOU, Fanyong MENG School of Business, Central South University, Changsha 410083, China School of Science, Hunan University of Technology, Zhuzhou, 412007, China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology, Nanjing 210044, China e-mail: [email protected], [email protected], men...

A new vector valued similarity measure for intuitionistic fuzzy sets based on OWA operators

Plenty of researches have been carried out, focusing on the measures of distance, similarity, and correlation between intuitionistic fuzzy sets (IFSs).However, most of them are single-valued measures and lack of potential for efficiency validation.In this paper, a new vector valued similarity measure for IFSs is proposed based on OWA operators.The vector is defined as a two-tuple consisting of ...