Neutrosophic Parametrized Soft Set Theory and its Decision Making

Abstract

Abstract:In this work, we present definition of neutrosophic parameterized (NP) soft set and its operations. Then we define NP-aggregation operator to form NP-soft decision making method which allows constructing more efficient decision processes. We also dive an example which shows that they can be successfully applied to problem that contain indeterminacy.

An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems

“…Therefore, the single-valued neutrosophic set (SVNS) was put forward, with a number of MCDM methods being proposed under a single-valued neutrosophic environment [21][22][23][24][25][26][27] , and some other extensions of NSs have been introduced [28][29][30] . In consideration of the fact that using exact numbers to describe the degrees of truth, falsity and indeterminacy about a particular statement is sometimes infeasible in real situations, Wang et al 31 proposed the concept of…”

Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making

“…Sahin et al [26] introduced neutrosophic soft expert sets, while Hassan et al [27] extended it further to Q-neutrosophic soft expert sets. Broumi et al [28] defined neutrosophic parametrized soft set theory and its decision making. Deli [29] introduced refined neutrosophic sets and refined neutrosophic soft sets.…”

Some weighted geometric operators with SVTrN-numbers and their application to multi-criteria decision making problems

“…For example; on neutrosophic similarity clustering [4,6,7,39,40,43], on multi-criteria decision making problems [38,41] etc. Also the notations such as fuzzy sets, intuitionistic fuzzy sets and neutrosophic sets has been applied to some different fields in [3,5,8,9,11,12,13,18,25,28,36,42].…”