WebIn the present communication, we have introduced the notion of T-spherical fuzzy soft matrix (TSFSM) and studied various types of associated binary operations and properties. In literature, it has been observed that the concept of soft matrix plays a vital role in many engineering applications as well as to cater different socio-economic and financial sector … WebFeb 6, 2024 · AbstractThis study proposes a new perspective of the TOPSIS and VIKOR methods using the recently introduced spherical fuzzy sets ... Akram M Kahraman C …
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WebJul 1, 2024 · Download PDF The goal of this research is to develop many aggregation operators for aggregating various complex T-Spherical fuzzy sets (CT-SFSs). Existing fuzzy set theory and its extensions, which are a subset of real numbers, handle the uncertainties in the data, but they may lose some useful information and so affect the decision results. WebMay 17, 2024 · Spherical fuzzy soft sets ( S F S f t S s) have its importance in a situation where human opinion is not only restricted to yes or no but some kind of abstinence or …
http://scientiairanica.sharif.edu/article_22500.html WebJan 1, 2024 · Abstract In this chapter, the definition of spherical fuzzy soft sets (SFSSs) and a few of its properties are introduced. SFSSs are presented as a generalization of soft …
WebPicture fuzzy sets were developed by Cuong [6,7,8] as a generalization of intuitionistic fuzzy set. Picture fuzzy matrices were developed by Madhhumangal pal and Shovan Degra [20]. Spherical fuzzy sets (SFS) were introduced by Kahraman and Gündogdu [15] as an extension of Pythagorean, neutrosophic and picture fuzzy sets. Spherical fuzzy soft sets are a generalization of fuzzy soft sets. This new model is more realistic, practical and accurate in some cases than the existing other soft set models. In this chapter, we tend to introduced the definition of spherical fuzzy soft sets and mentioned various operations on them. See more Let \varpi = \langle {F,A}\rangle be a SFSS over U. For a triple (p,q,r)\in [0,1]^3, the (p, q, r)-level soft set of \varpi is a crisp soft set L(\varpi ;(p,q,r))=\langle {F_{(p,q,r)},A}\rangle is defined by See more Consider Example 1. Now we take (p,q,r)=(0.3,0.2,0.5), we get L(F(e_1);(0.3,0.2,0.5)) = \{p_3\} L(F(e_2);(0.3,0.2,0.5)) … See more Let L(\varpi ;(p_1,q_1,r_1)) = \langle {F_(p_1,q_1,r_1),A}\rangle where, F_(p_1,q_1,r_1)(e) = L(F(e);(p_1,q_1,r_1)) = \{x\in U \mu _{F(e)}(x)\ge p_1, \eta _{F(e)}(x)\le q_1 and \vartheta _{F(e)}\le r_1\}, for all e\in A. … See more Let \varpi = \langle {F,A}\rangle be a spherical fuzzy soft set over U, where A\subseteq E and E is a set of parameters. L(\varpi ;(p_1,q_1,r_1)) and L(\varpi ;(p_2,q_2,r_2)) are … See more
WebApr 26, 2024 · The spherical fuzzy soft set is a generalized soft set model, which is more realistic, practical, and accurate. It is an extended version of existing fuzzy soft set …
WebJun 1, 2024 · AbstractIn this paper, we generalize the notion of principal ideal (resp. filter) on a lattice to the setting of intuitionistic fuzzy sets and investigate their various … cryptopia chargesWebMar 26, 2024 · Spherical fuzzy soft sets (SFSSs) generalize fuzzy soft sets, and are more flexible and reliable than existing other soft set models. In this work, a similarity measure and a corresponding weighted similarity measure between two SFSSs are proposed and some of their basic properties are discussed. dutch bros american eagleWebMay 27, 2024 · This book introduces readers to the novel concept of spherical fuzzy sets, showing how these sets can be applied in practice to solve various decision-making problems. It also demonstrates that these … cryptopia claims portal loginWebDifferent power neutral operators for T-spherical fuzzy sets are initiated as well. • A new modified score function for T-spherical fuzzy sets is formulated. • An MADM algorithm to find the best one based on designed operators is constituted. • A hypothetical case study on hydrogen refuelling site selection is illustrated. cryptopia claims emailWebOct 5, 2024 · Fuzzy set theory ABSTRACT As a generalization of Zadeh's fuzzy set theory, soft set theory was introduced by Molodtsov in 1999. It is a new mathematical tool to deal … cryptopia bitcoin lowest withdrawal feeWebMoltodtsov [8] created soft set theory (SST) to handle the parameterizations component of the analysis. Maji et al. [9] merged soft sets (SS) and FS. Later, Maji et al. [10] also defined an intuitionistic fuzzy soft set (IFSS). A number of academics have provided methods and techniques for dealing with DM issues in the SS environment. dutch bros arapahoe roadWebMar 23, 2024 · This paper presents the novel concept of complex spherical fuzzy -soft set which is capable of handling two-dimensional vague information with parameterized … cryptopia bitcoin blockchains