Results 111 to 120 of about 6,684,057 (202)

Interval Valued Trapezoidal Neutrosophic Set for Prioritization of Non-functional Requirements

open access: yesCoRR, 2019
This paper discusses the trapezoidal fuzzy number(TrFN); Interval-valued intuitionistic fuzzy number(IVIFN); neutrosophic set and its operational laws; and, trapezoidal neutrosophic set(TrNS) and its operational laws. Based on the combination of IVIFN and TrNS, an Interval Valued Trapezoidal Neutrosophic Set (IVTrNS) is proposed followed by its ...
openaire   +3 more sources

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

Probabilistic Single-Valued (Interval) Neutrosophic Hesitant Fuzzy Set and Its Application in Multi-Attribute Decision Making [PDF]

open access: yes, 2018
The uncertainty and concurrence of randomness are considered when many practical problems are dealt with. To describe the aleatory uncertainty and imprecision in a neutrosophic environment and prevent the obliteration of more data, the concept of the ...
Xiaohong Zhang   +3 more
core   +1 more source

Interval-Valued Complex Neutrosophic Sets and Complex Neutrosophic Soft Topological Spaces

open access: yesInternational Journal of Analysis and Applications
Network performance is the evaluation and assessment of collective network statistics, to define the quality of services offered by the computer network. It is a qualitative and quantitative technique that measures and defines the performance level for a network.
Maha Mohammed Saeed   +4 more
openaire   +1 more source

A New Approach of Generalized Interval-Valued Neutrosophic Rough Set and Its Application in Medical Diagnosis

open access: yesTransactions on Fuzzy Sets and Systems
This study introduces a framework of Generalized Interval-Valued Neutrosophic Rough Sets (GIVNRSs) to improve the modeling of uncertainty, indeterminacy, and incompleteness in complex data.
Abhik Mukherjee   +3 more
doaj  

Exponential Entropy for Simplified Neutrosophic Sets and Its Application in Decision Making

open access: yesEntropy, 2018
Entropy is one of many important mathematical tools for measuring uncertain/fuzzy information. As a subclass of neutrosophic sets (NSs), simplified NSs (including single-valued and interval-valued NSs) can describe incomplete, indeterminate, and ...
Jun Ye, Wenhua Cui
doaj   +1 more source

An Integrated Model with Interval Valued Neutrosophic Sets for the Selection of Lean and Sustainable Suppliers

open access: yes, 2019
Suppliers have a very important role in the supply chain (SC) and accordingly the evaluation and selection of the supplier is quite significant. The aim of this study is to develop a hybrid methodology for the determination of the best supplier considering lean and sustainable factors.
Yalcin, Ahmet Selcuk   +2 more
openaire   +4 more sources

INTERVAL VALUED SIGNED NEUTROSOPHIC GRAPH

open access: yes, 2019
The notion of interval valued neutrosophic sets is a generalization of fuzzy sets, intuitionistic fuzzy sets, interval valued fuzzy sets, interval valued intuitionstic fuzzy sets and single valued neutrosophicsets. We apply for the first time the concept
SUDHAKAR.V.J, MOHAMED ALI. A, VINOTH.D
core   +1 more source

Concepts of Interval-Valued Neutrosophic Graphs

open access: yes, 2017
Broumi et al. [15] proposedthe concept of interval-valued neutrosophic graphs. In this research article, we first show that there are some flaws in Broumi et al. [15] ’s definition which violates condition of an interval.
Maryam Nasir, Muhammad Akram
core   +1 more source

Interval-Valued Neutrosophic Graph Structures

open access: yes, 2020
In this research article, we introduce certain notions ofinterval-valued neutrosophic graph structures. We elaborate theconcepts of interval-valued neutrosophic graph structures withexamples.
Muhammad Akram; Department of Mathematics,University of the Punjab,New Campus, Lahore, Pakistan   +1 more
core  

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