Decision Support Technique Based On Neutrosophic Yager Aggregation Operators Application In Solar Power Plant Locations Case Study Of Bahawalpur Pakistan
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Decision Support Technique Based On Neutrosophic Yager Aggregation Operators Application In Solar Power Plant Locations Case Study Of Bahawalpur Pakistan
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Author : Shabeer Khan
language : en
Publisher: Infinite Study
Release Date :
Decision Support Technique Based On Neutrosophic Yager Aggregation Operators Application In Solar Power Plant Locations Case Study Of Bahawalpur Pakistan written by Shabeer Khan and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
The problem of energy crisis and environmental pollution has been mitigated by the generation and use of solar power; however, the choice of locations for solar power plants is a difficult task because the decision-making process includes political, socioeconomic, and environmental aspects.Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of solar power plant locations. Neutrosophic sets (NSs) are the latest extension of the ordinary fuzzy sets. The main characteristic of the neutrosophic sets is satisfying the condition that the sum of the truth, indeterminacy, and falsity grades must be at least zero and at most three. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under neutrosophic environments (NE).
Data Driven Modelling With Fuzzy Sets
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Author : Said Broumi
language : en
Publisher: CRC Press
Release Date : 2024-07-03
Data Driven Modelling With Fuzzy Sets written by Said Broumi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-03 with Computers categories.
Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of neutrosophic sets. In this thought-provoking book, titled Data-Driven Modelling with Fuzzy Sets: A Neutrosophic Perspective, the authors delve into the theories and extensive applications of neutrosophic sets, ranging from neutrosophic graphs to single-valued trapezoidal neutrosophic sets and their practical implications in knowledge management, including student learning assessment, academic performance evaluation, and technical article screening. This comprehensive resource is intended to benefit mathematicians, physicists, computer experts, engineers, scholars, practitioners, and students seeking to deepen their understanding of neutrosophic sets and their practical applications in diverse fields. This book comprises 11 chapters that provide a thorough examination of neutrosophic set theory and its extensions. Each chapter presents valuable insights into various aspects of data-driven modeling with neutrosophic sets and explores their applications in different domains. The book covers a wide range of topics. The specific topics covered in the book include neutrosophic submodules, applications of neutrosophic sets, solutions to differential equations with neutrosophic uncertainty, cardinalities of neutrosophic sets, neutrosophic cylindrical coordinates, applications to graphs and climatic analysis, neutrosophic differential equation approaches to growth models, neutrosophic aggregation operators for decision making, and similarity measures for Fermatean neutrosophic sets. The diverse contributions from experts in the field, coupled with the constructive feedback from reviewers, ensure the book's high quality and relevance. This book presents a qualitative assessment of big data in the education sector using linguistic quadripartitioned single-valued neutrosophic soft sets showcases application of n-cylindrical fuzzy neutrosophic sets in education using neutrosophic affinity degree and neutrosophic similarity index covers scientific evaluation of student academic performance using single-valued neutrosophic Markov chain illustrates multi-granulation single-valued neutrosophic probabilistic rough sets for teamwork assessment examines estimation of distribution algorithms based on multiple-attribute group decision-making to evaluate teaching quality With its wealth of knowledge, this book aims to inspire further research and innovation in the field of neutrosophic sets and their extensions, providing a valuable resource for scholars, practitioners, and students alike.
On Soft Rough Topology With Multi Attribute Group Decision Making
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Author : Muhammad Riaz
language : en
Publisher: Infinite Study
Release Date :
On Soft Rough Topology With Multi Attribute Group Decision Making written by Muhammad Riaz and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Rough set approaches encounter uncertainty by means of boundary regions instead of membership values. In this paper, we develop the topological structure on soft rough set (SR-set) by using pairwise SR-approximations.
Simplified Neutrosophic Sets And Their Applications In Multi Criteria Group Decision Making Problems
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Author : Juan-juan Peng
language : en
Publisher: Infinite Study
Release Date :
Simplified Neutrosophic Sets And Their Applications In Multi Criteria Group Decision Making Problems written by Juan-juan Peng and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
As a variation of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets have been developed to represent uncertain, imprecise, incomplete and inconsistent information that exists in the real world. Simplified neutrosophic sets (SNSs) have been proposed for the main purpose of addressing issues with a set of specific numbers. However, there are certain problems regarding the existing operations of SNSs, as well as their aggregation operators and the comparison methods. Therefore, this paper defines the novel operations of simplified neutrosophic numbers (SNNs) and develops a comparison method based on the related research of intuitionistic fuzzy numbers. On the basis of these operations and the comparison method, some SNN aggregation operators are proposed. Additionally, an approach for multi-criteria group decision-making (MCGDM) problems is explored by applying these aggregation operators. Finally, an example to illustrate the applicability of the proposed method is provided and a comparison with some other methods is made.
Spherical Fuzzy Logarithmic Aggregation Operators Based On Entropy And Their Application In Decision Support Systems
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Author : Yun Jin
language : en
Publisher: Infinite Study
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Spherical Fuzzy Logarithmic Aggregation Operators Based On Entropy And Their Application In Decision Support Systems written by Yun Jin and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Keeping in view the importance of new defined and well growing spherical fuzzy sets, in this study, we proposed a novel method to handle the spherical fuzzy multi-criteria group decision-making (MCGDM) problems. Firstly, we presented some novel logarithmic operations of spherical fuzzy sets (SFSs). Then, we proposed series of novel logarithmic operators, namely spherical fuzzy weighted average operators and spherical fuzzy weighted geometric operators.
Fuzzy Decision Support Modeling For Hydrogen Power Plant Selection Based On Single Valued Neutrosophic Sine Trigonometric Aggregation Operators
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Author : Shahzaib Ashraf
language : en
Publisher: Infinite Study
Release Date :
Fuzzy Decision Support Modeling For Hydrogen Power Plant Selection Based On Single Valued Neutrosophic Sine Trigonometric Aggregation Operators written by Shahzaib Ashraf and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
In recent decades, there has been a massive growth towards the prime interest of the hydrogen energy industry in automobile transportation fuel. Hydrogen is the most plentiful component and a perfect carrier of energy. Generally, evaluating a suitable hydrogen power plant site is a complex selection of multi-criteria decision-making (MCDM) problem concerning proper location assessment based on numerous essential criteria, the decision-makers expert opinion, and other qualitative/quantitative aspects.
Neutrosophic Set A Generalization Of The Intuitionistic Fuzzy Set
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Author : Florentin Smarandache
language : en
Publisher: Infinite Study
Release Date : 2010-08-23
Neutrosophic Set A Generalization Of The Intuitionistic Fuzzy Set written by Florentin Smarandache and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-23 with Mathematics categories.
In this paper one generalizes the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Many examples are presented. Distinctions between NS and IFS are underlined.
Multi Criteria Information Fusion For Medical Diagnosis Based On M Polar Fuzzy Neutrosophic Generalized Weighted Aggregation Operator
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Author : Muhammad Riaz
language : en
Publisher: Infinite Study
Release Date :
Multi Criteria Information Fusion For Medical Diagnosis Based On M Polar Fuzzy Neutrosophic Generalized Weighted Aggregation Operator written by Muhammad Riaz and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
This manuscript offers a progressive mathematical model for medical diagnosis and recovery of the patient’s disease. To manipulate and deal with the hesitations and obscurities of objects and human thinking an innovative notion of m-polar fuzzy neutrosophic set (MPFNS) is inaugurate from the an tecedent concepts of fuzzy neutrosophic set (FNS) and m-polar fuzzy set (MPFS). In this article, we introduce various operations on MPFNS and construct its score functions. We propose generalized weighted aggregation operator in the context of MPFNNs. A case study based on data fusion for medical diagnosis is present and scrutinize with the help of MPFN data.
A Unifying Field In Logics Neutrosophic Logic Neutrosophy Neutrosophic Set Neutrosophic Probability Fourth Edition
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Author : Florentin Smarandache
language : en
Publisher: Infinite Study
Release Date : 2005
A Unifying Field In Logics Neutrosophic Logic Neutrosophy Neutrosophic Set Neutrosophic Probability Fourth Edition written by Florentin Smarandache and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.
N-Norm and N-conorm are extended in Neutrosophic Logic/Set.
Neutrosophic Soft Rough Topology And Its Applications To Multi Criteria Decision Making
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Author : Muhammad Riaz
language : en
Publisher: Infinite Study
Release Date :
Neutrosophic Soft Rough Topology And Its Applications To Multi Criteria Decision Making written by Muhammad Riaz and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
In this manuscript, we introduce the notion of neutrosophic soft rough topology (NSR-topology) defined on neutrosophic soft rough set (NSR-set). We define certain properties of NSR- topology including NSR-interior, NSR-closure, NSR-exterior, NSR-neighborhood, NSR-limit point, and NSR-bases. Furthermore, we aim to develop some multi-criteria decision-making (MCDM) methods based on NSR-set and NSR-topology to deal with ambiguities in the real-world problems. For this purpose, we establish algorithm 1 for suitable brand selection and algorithm 2 to determinencore issues to control crime rate based on NSR-lower approximations, NSR-upper approximations, matrices, core, and NSR-topology.