[PDF] Top 20 Circulant Interval Valued Fuzzy Matrices

... Abstract. Circulant matrix is a square matrix whose rows are obtained by cyclically rotating by its first ...on circulant interval valued fuzzy matrices ...on circulant ... See full document

... Fuzzy matrices were introduce for the first time by Thomason [42], who discussed the convergence of powers of fuzzy ...transitive fuzzy matrix. Hemashina et al. [20] Investigated iterates of ... See full document

... In this paper, we discuss various k-g inverses of k-regular interval-valued fuzzy matrices. In section 2, some basic definitions and results needed are given. In section 3, characterization ... See full document

... of fuzzy set theory, involving fuzzy matrices to deal with the different complicating aspects of medical ...the interval valued fuzzy number matrices to represent the ... See full document

... proposed fuzzy mathematical models [5,6,7]. An application of fuzzy set theory was given by Adlassing ...weighted fuzzy algorithms and Belacel proposed PROCFTN methodology to handle uncertainties ... See full document

... transitive fuzzy matrix. Hemashina et al. [20] Investigated iterates of fuzzy circulant ...of matrices over a distributive lattice are consider by Zhang [43] and Tan ...on fuzzy, ... See full document

... k-pseudo-similar interval- valued fuzzy matrices (IVFM) as a generalization of k-pseudo-similar fuzzy matrices and as a special case for k=1, it reduces to pseudo-similar ... See full document

... In this paper we have defined of similarity measure between two IVFSMs and proposed similarity measures of two IVFSMs. Then we construct a decision making method based on similarity measures. Finally we give two simple ... See full document

... A fuzzy matrix is a matrix over a fuzzy algebra and the algebraic operations on fuzzy matrices are max-min operations, which are different from that of the standard operations on real and ... See full document

... Remark 2.1. In particular for k=1, Definitions 2.4 and 2.5 are identical. Hence k-pseudo- similar is reduced to pseudo-similar fuzzy matrices. However, both right and left k- pseudo-similarity relations are ... See full document

... for Interval Valued Fuzzy Matrices, analogous to that of minus partial ordering for complex matrices and as an extension of that of fuzzy matrices ...regular fuzzy ... See full document

... of Interval valued fuzzy soft matrix, and defined different types of matrices in Interval valued fuzzy soft set theory along with ...on Interval valued ... See full document

... Abstract: Interval valued fuzzy soft set was a combination of the interval valued fuzzy set and soft set, while in generalized interval valued fuzzy soft set ... See full document

... I n this paper,interval valuedfuzzy numbershave been defined and a new ranking formula have been proposed.The membershiparea of the fuzzy numbers aresplitted into plane figures and centroid of the centroids ... See full document

... on fuzzy graphs. The complement of a fuzzy graph was defined by Mordeson ...M-strong fuzzy graphs in [5] and studied some of their ...intuitionistic fuzzy relations and intuitionistic ... See full document

...  fuzzy set. Interval valued fuzzy sets were suggested by Gorzlczany 2 andTurksen 3 ...defined interval valued fuzzy numbers IVFN and gave their extended ...in ... See full document

... Definition 2.1[10]A fuzzy graph is a pair of functions where is a fuzzy subset of a non-empty set and is a symmetric fuzzy relation on . The underlying crisp graph of is denoted by where . ... See full document

... of interval-valued fuzzy graphs can be applied in various areas of engineering, computer science: database theory, expert systems, neural networks, artificial intelligence, signal processing, pattern ... See full document

... Hesitant fuzzy sets, permitting the membership of an element to be a set of several possible values can be used as an efficient mathematical tool for modeling peoples hesitancy in day to day ...of ... See full document

... intuitionistic fuzzy set(IFS) characterized by a membership function and a non-membership function, which is a generalization of the concept of fuzzy set [3] whose basic component is only a membership ... See full document