نتایج جستجو برای: set theoretic similarity measure

تعداد نتایج: 1074432  

Journal: :International Journal of Computers Communications & Control 2019

Journal: :Journal of Mathematical Analysis and Applications 2010

2016
Sanghyuk Lee Ka Lok Man Eng Gee Lim Mark Leach

Study of fuzzy entropy on intuitionistic fuzzy sets (IFSs) were proposed, and analyzed. Built in uncertainty in IFSs, it is named as hesitance. It is contained in fuzzy membership function in itself by definition. Hence, designing fuzzy entropy is not easy because there is no general entropy definition about IFSs. By considering existing fuzzy entropy definitions, fuzzy entropy on IFSs is desig...

G. Suresh Singh Jobin Thomas P. B. Vinodkumar Sabu Joseph Sunny Joseph Kalayathankal,

A flood warning system is a non-structural measure for flood mitigation. Several parameters are responsible for flood related disasters. This work  illustrates an ordered intuitionistic fuzzy analysis that has the capability to simulate the unknown relations between a set of meteorological and hydrological parameters. In this paper, we first define ordered intuitionistic fuzzy soft sets and est...

Journal: :Mathematical Problems in Engineering 2019

H. Rezaei K. Rezaei

The hesitant fuzzy soft set (HFSS), as a combination of hesitant fuzzy and soft sets, is regarded as a useful tool for dealing with the uncertainty and ambiguity of real-world problems. In HFSSs, each element is defined in terms of several parameters with arbitrary membership degrees. In addition, distance and similarity measures are considered as the important tools in different areas such as ...

Journal: :Mémoires de la Société mathématique de France 1989

Journal: :The Japanese Journal of Educational Psychology 1990

Journal: :CoRR 2016
Abhijit Adhikari Shivang Singh Deepjyoti Mondal Biswanath Dutta Animesh Dutta

Information content (IC) based measures for finding semantic similarity is gaining preferences day by day. Semantics of concepts can be highly characterized by information theory. The conventional way for calculating IC is based on the probability of appearance of concepts in corpora. Due to data sparseness and corpora dependency issues of those conventional approaches, a new corpora independen...

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