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Proceedings ArticleDOI

Interval-valued intuitionistic fuzzy parameterized soft set theory and its application in decision-making

B. K. Tripathy, +1 more
- Vol. 2016, pp 1-6
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TLDR
The hybrid model of interval valued fuzzy set and soft set was introduced by Yang in 2009 is extended to define interval valued intuitionistic fuzzy parameterized soft set (IVIFPSS) and their properties are established.
Abstract
Decision-making is a technique which all of us do every day in different contexts. In Decision-making several alternates are there from which the best one is to be selected. But the alternates may not be crisp many times. So, uncertainty based techniques are necessary to solve these problems. Among the different models of uncertainty, we have fuzzy sets, intuitionistic fuzzy sets and soft sets. There are other variations of fuzzy sets like the interval valued fuzzy sets. Also, we have hybrid models obtained by combining two or more of these models. Molodtsov introduced the notion of soft set in 1999, which has better parameterization capability than most of the other such models. The hybrid model of interval valued fuzzy set and soft set was introduced by Yang in 2009. In this paper, we extend it to define interval valued intuitionistic fuzzy parameterized soft set (IVIFPSS) and establish their properties. Continuing the earlier works on using hybrid models in decision-making, in this paper we use IVIFPSS to put forth two algorithms on decision-making. Out of these two one is on individual decision-making and the other one is on group decision making, which we illustrate through examples.

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Book ChapterDOI

A New Approach to Interval-Valued Fuzzy Soft Sets and Its Application in Decision-Making

TL;DR: IVFSS is defined through the membership function approach to define soft set by Tripathy et al. very recently, and several concepts, such as complement of an IVFSS, null IVF SS, absolute IVFFS, intersection, and union of two IVFsss, are redefined.
Journal ArticleDOI

An Interval Valued Fuzzy Soft Set Based Optimization Algorithm for High Yielding Seed Selection

TL;DR: As seed selectionﻵ�is-is theﻴ�firstﻰ�attempt﻽� forソsuchﻷ such-and-a-half-year-old-girls-of-elderly-age-in-need-to-be-saved-by-the-seeds, £10,000-£15,000 is invested in this study.
Journal ArticleDOI

Application of Parameterized Hesitant Fuzzy Soft Set Theory in Decision Making

TL;DR: This paper introduces a new hybrid model, fuzzy parameterized hesitant fuzzy soft sets (FPHFSSs), and presents arithmetic mean score and geometry mean score incorporated with hesitant degree of FPHFSSs in TOPSIS.
References
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Journal ArticleDOI

Intuitionistic fuzzy sets

TL;DR: Various properties are proved, which are connected to the operations and relations over sets, and with modal and topological operators, defined over the set of IFS's.
Journal ArticleDOI

Soft set theory—First results

TL;DR: The main purpose of this paper is to introduce the basic notions of the theory of soft sets, to present the first results of the the theory, and to discuss some problems of the future.
Journal ArticleDOI

Soft set theory

TL;DR: The authors define equality of two soft sets, subset and super set of a soft set, complement of asoft set, null soft set and absolute soft set with examples and De Morgan's laws and a number of results are verified in soft set theory.
Journal ArticleDOI

An application of soft sets in a decision making problem

TL;DR: In this article, the theory of soft sets was applied to solve a decision-making problem using rough mathematics, and the results showed that soft sets can be used to solve decision making problems.
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