Results 31 to 40 of about 7,058,540 (197)

APPLICATION OF INTERVAL VALUED INTUITIONISTIC FUZZY SOFT SETS OF ROOT TYPE IN DECISION MAKING [PDF]

open access: yesICTACT Journal on Soft Computing, 2016
In this paper we introduce the concentration and dilation operators on interval valued intuitionistic fuzzy soft sets of root type which is a generalization of fuzzy set, intuitionistic fuzzy set, interval valued intuitionistic fuzzy set and ...
S Anita Shanthi   +2 more
doaj   +1 more source

Enhancing Group Decision Making with Interval Valued Fuzzy Soft Max–min Method: An Examination in Manpower Recruitment

open access: yesJournal of Computing Research and Innovation
Maji et al. expanded on soft set theory by introducing fuzzy soft set theory, offering a versatile approach for tackling problems marked by uncertainty and fuzziness, while effectively modelling and representing data.
Samsiah Abdul Razak   +2 more
doaj   +2 more sources

Interval-valued bipolar complex fuzzy soft sets and their applications in decision making

open access: yesScientific Reports
In this manuscript we demonstrate interval-valued bipolar complex fuzzy set (IVBCFS) and then interval-valued bipolar complex fuzzy soft set (IVBCFSS), as a generalization of fuzzy set, interval-valued fuzzy set, bipolar fuzzy set, complex fuzzy set and ...
Abdul Jaleel   +3 more
doaj   +2 more sources

Integrated Framework of Generalized Interval-Valued Hesitant Intuitionistic Fuzzy Soft Sets with the AHP for Investment Decision-Making Under Uncertainty

open access: yesMathematics
Investment decision-making is often characterized by uncertainty and the subjective weighting of criteria. This study aims to develop a more robust decision support framework by integrating the Generalized Interval-Valued Hesitant Intuitionistic Fuzzy ...
Ema Carnia   +6 more
doaj   +2 more sources

Group Decision Making Through Interval Valued Intuitionistic Fuzzy Soft Sets

open access: yesInternational Journal of Fuzzy System Applications, 2018
This article describes how the lack of adequate parametrization in some of the earlier uncertainty based models like fuzzy sets, rough sets motivated Molodtsov to introduce a new model in soft set. A suitable combination of individual models leads to hybrid models, which are more efficient than their individual components.
B. K. Tripathy 0001   +3 more
openaire   +3 more sources

On Interval-Valued Hesitant Fuzzy Soft Sets [PDF]

open access: yesMathematical Problems in Engineering, 2015
By combining the interval-valued hesitant fuzzy set and soft set models, the purpose of this paper is to introduce the concept of interval-valued hesitant fuzzy soft sets. Further, some operations on the interval-valued hesitant fuzzy soft sets are investigated, such as complement, “AND,” “OR,” ring sum, and ring product operations.
Haidong Zhang   +2 more
openaire   +2 more sources

An Improved Decision-Making Approach Based on Interval-valued Fuzzy Soft Set

open access: yes, 2021
Some operators and laws of the interval-valued fuzzy soft sets are first introduced in this paper. Then an improved decision-making approach is proposed by employing the comparable table of interval-valued fuzzy soft set.
Qiansheng Zhang, D. Sun
semanticscholar   +1 more source

Corrigendum to “On Interval-Valued Hesitant Fuzzy Soft Sets” [PDF]

open access: yesMathematical Problems in Engineering, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ahmed Mostafa Khalil   +3 more
openaire   +2 more sources

Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]

open access: yes, 2003
This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X.   +14 more
core   +2 more sources

A Decision-Making Algorithm Based on the Average Table and Antitheses Table for Interval-Valued Fuzzy Soft Set

open access: yesSymmetry, 2020
Interval-valued fuzzy soft set is one efficient mathematical model employed to handle the uncertainty of data. At present, there exist two interval-valued fuzzy soft set-based decision-making algorithms.
Xiuqin Ma   +3 more
semanticscholar   +1 more source

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