Results 41 to 50 of about 2,542,226 (197)

On neutrosophic uninorms [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
Uninorm generalizes the notion of t-norm and t-conorm in fuzzy logic theory. They are three increasing, commutative and associate operators having one neutral element. However, such specific value identifies the kind of operator it is; t-norms have the 1
Erick González-Caballero   +2 more
doaj   +1 more source

Application Of Inclusion Measure In Interval Valued Neutrosophic Sets [PDF]

open access: yesJournal of University of Shanghai for Science and Technology, 2022
In this paper, we discuss about Inclusion Measure for ranking the Interval Valued Neutrosophic Sets (IVNSs) by using some distance measure concepts. Inclusion Measure is an easy way to understand the ranking method between IVNSs. We finally illustrate a multi attribute decision making problem to reveal the strength and usefulness of Inclusion Measure.
openaire   +1 more source

Navigating Economic and Agricultural Realms with Interval-Valued Complex Neutrosophic Fuzzy Sets [PDF]

open access: yesNeutrosophic Sets and Systems
This article introduces the concept of the interval-valued complex neutrosophic fuzzy set, which extends traditional neutrosophic sets to address challenges like uncertainty, inconsistency, and indeterminate information.
Velan Kalaiyarasan , Krishnan Muthunagai
doaj   +3 more sources

Decision-Making Modeling in Agro-Food Systems Using Type-2 Interval-Valued Linguistic Complex Neutrosophic Sets [PDF]

open access: yesNeutrosophic Sets and Systems
Neutrosophic sets are a strong mathematical framework for representing decision-making uncertainty, ambiguity, and indeterminacy. They have three separate membership functions: truth (T), falsity (F), and indeterminacy.
R. K. Saini   +3 more
doaj   +1 more source

Properties and Structure of Type-2 Neutrosophic Control Point Relation [PDF]

open access: yesNeutrosophic Sets and Systems
In recent decades, practitioners and scholars from several fields have increasingly used fuzzy sets as a fundamental tool for characterizing uncertainty data.
Siti Nur Idara Rosli   +1 more
doaj   +1 more source

Arithmetic Operations of Neutrosophic Sets, Interval Neutrosophic Sets and Rough Neutrosophic Sets

open access: yes, 2018
In approximation theory, neutrosophic set and logic show an important role. They are generalizations of intuitionistic fuzzy set and logic respectively.
Florentin Smarandache   +5 more
core   +1 more source

Interval Neutrosophic Rough Sets [PDF]

open access: yes, 2015
This Paper combines interval- valued neutrouphic sets and rough sets. It studies roughness in interval- valued neutrosophic sets and some of its properties.
Smarandache, Florentin, Broumi, Said
core   +1 more source

An MCDM Method under Neutrosophic Cubic Fuzzy Sets with Geometric Bonferroni Mean Operator [PDF]

open access: yesNeutrosophic Sets and Systems, 2020
Neutrosophic cubic fuzzy sets (NCFSs) involve interval valued and single valued neutrosophic sets, and are used to describe uncertainty or fuzziness in a more efficient way. Aggregation of neutrosopic cubic fuzzy information is crucial and necessary in
D. Ajay , Said Broumi , J. Aldring
doaj   +1 more source

Combination of interval-valued neutrosophic soft sets and graph theory

open access: yesNew Trends in Mathematical Science, 2018
In this paper, we combine the concepts of interval-valued neutrosophic soft set and graph theory. We introduce notations of interval-valued neutrosophic soft graph and complete interval-valued neutrosophic soft graph. We also present several different types operations including cartesian product, union and intersection on interval-valued neutrosophic ...
Yildiray Celik, Guven Kara
openaire   +1 more source

Assessing Sustainability Performance in the Life Insurance Industry: An Integrated Sustainability Balanced Scorecard Framework Under q‐Rung Orthopair Fuzzy Information

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Assessing the sustainability performance of life insurers has become increasingly important, as long‐term competitiveness depends not only on financial soundness but also on environmental, social, organizational, and governance‐related capabilities.
Özcan Işık, İbrahim Adalar
wiley   +1 more source

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