[PDF] Top 20 On Generalized Interval Valued Fuzzy Soft Matrices

... [1], fuzzy set theory (FST) [2], rough set theory (RST) [3], interval mathematics [4] and intuitionistic fuzzy set theory (IFST) [5] ...proposed soft set theory (SST) to overcome these ... See full document

... bipolar interval valued fuzzy set A in X is defined as an object of the form A = { x, M(x), N(x) / xX}, where M : XD[0, 1] and N : XD[1, ...membership interval degree M(x) denotes the ... See full document

... of interval valued fuzzy soft matrices to investment of funds in investment decision making problem, according to these parameters such as safety of funds, high return, maximum profit ... 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

... intuitionistic fuzzy sets was introduced by ...of fuzzy sets was introduced by ...Intuitionistic fuzzy sets are characterized by two functions expressing the degree of membership and the degree of ... See full document

... a fuzzy subset was introduced and studied by ...studied fuzzy topological spaces in 1968 as a generalization of topological spaces many researchers like, and many others have contributed to the development ... See full document

... which fuzzy numbers and fuzzy matrices find great ...under fuzzy environment and also some case studies were done for the ...for fuzzy medical diagnosis ... See full document

... regarding interval-valued fuzzy soft ...Jun’s soft J-inclusions and Liu’s soft ...directed interval-valued fuzzy soft sets and concentrate on ... See full document

... [8] Maji, P.K., Biswas, R. and Roy, A.R. (2003). Soft set theory. Computers and Mathematics with Applications, 45: 555-562. [9] Ozturk, M.A. and Inna, E. (2011). Soft -rings and idealistic soft ... See full document

... choice matrices. Choice matrices represent the choice parameters of the decision makers and it also help us to solve the interval valued intuitionistic fuzzy soft matrix based ... 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

... of soft relation and fuzzy soft relation and applied them to solve a number of decision making ...of fuzzy soft relation compared to other paradigms are ...extended fuzzy ... 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

... circulant interval valued fuzzy matrix (CIVFMs) are discussed with ...circulant interval valued fuzzy matrix (CIVFMs) are also ... 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

... 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

... Abstract. Fuzzy graphs have revolutionized the analysis of problematic data to arrive at a better decision making power are different ...the interval-valued fuzzy graph in the simplest and ... See full document

... a soft set over U where F is a mapping given by F: E → P(U).Clearly a soft set is a mapping from parameters to P(U)and it is not a set, but a parameterized family of subsets of the ... See full document

... normalized fuzzy numbers with the help of α-cuts and applied this proposed concept on numerical ...of fuzzy TOPSIS in different areas and used for decision ...the interval-valued 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