[PDF] Top 20 Revision of a fuzzy distance measure

... the distance be- an uncertain number. It can also be assumed that if a fuzzy number is defined as a collection of points with different degrees of belongingness, then the distance between two ... See full document

... intuitionistic fuzzy sets and presented an application of intuitionistic fuzzy sets in election process using an assumed ...new distance measure of intuitionistic fuzzy ... See full document

... Similarity measure or distance measure is also an important factor in assessing the quality of a face recognition ...various distance measures in literature which are widely used in this ... See full document

... between fuzzy set and intuitionistic fuzzy sets is clear, because IFSs include hesitance – uncertainty - by ...design fuzzy entropy on IFSs. In previous results, fuzzy entropy was designed as ... See full document

... define fuzzy metric ...to measure the distance between fuzzy ...different measure in different problems in fuzzy ...uniform measure that can be used in all kinds of ... See full document

... intuitionistic fuzzy sets (IFSs) via a new distance measure of intuitionistic fuzzy ...Diagnosis, distance measure, fuzzy sets, intuitionistic fuzzy sets, viral ... See full document

... intuitionistic fuzzy graph- based structure to maintain the corresponding information of every ...Intuitionsitc fuzzy logic to employ a human- like color perception in its decision making stage in order to ... See full document

... two fuzzy concepts and has widespread ...of fuzzy sets is based on their distance. Various distance measures are present in ...one distance measure and made comparison is made ... See full document

... Document revision detection, plagiarism detec- tion and revision provenance all rely on compar- ing the content of two documents and assessing a distance/similarity ...similarity measure, ... See full document

... 72 state of students knowing the results of their performance. The problem description uses the concept of IFS that makes it possible to render two important facts. First, Values of each subject performance changes for ... See full document

... From the above informations the company has to choose robots with best characteristic. Here we are going to choose a best parameter with these two sets of robots. Now all the available information on robots under ... See full document

... of fuzzy set theory (FST) was first introduced by Zadeh (1965) as a generalization of classical set theory by replacing membership function to characteristic ...Intuitionistic Fuzzy (IFS) sets by extending ... See full document

... similarity measure is inversely related to distance ...between fuzzy numbers are very much significant. Thus the distance between fuzzy sets and as well as fuzzy numbers have ... See full document

... While distance measures traditionally use a single real value to express distance, representing the distance as a FS would give a richer, more accurate comparison, reflecting the uncertainty inherent ... See full document

... existed fuzzy regression methods have some special requirements for the object of study, such as assuming the observed values as symmetric tri- angular fuzzy numbers or imposing a non-negative constraint of ... See full document

... Keywords : Fuzzy number; F uzzy distane measure; Interval distane.. ||||||||||||||||||||||||||||||||{.[r] ... See full document

... new distance measures that contain more information if we want them to be more ...the distance between two uncertain numbers never generates a crisp ...new distance measure for IFNs based on ... See full document

... the fuzzy analogues of several basic graph-theoretic concepts like bridges, paths, cycles, trees and connectedness and established some of their ...in fuzzy graphs and based on this µ- distance ... See full document

... system. Fuzzy set theory is used in various domains as decision making under uncertainty, information retrieval, machine fault diagnosis in large scale industries and image processing ... See full document

... In order to test the generalization capability of LSI, LPI, and CPI, the CPI method has smaller generalization error than LSI and LPI methods. This means that the CPI method has better generalization capability. Another ... See full document