Linguistic neutrosophic Hamacher aggregation operators and the application in evaluating land reclamation schemes for mines
Linguistic neutrosophic Hamacher aggregation operators and the application in evaluating land reclamation schemes for mines

Author: Weizhang Liang

Publisher: Infinite Study

Published:

Total Pages: 29

ISBN-13:

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Land reclamation has become a significant way for the improvement of ecological environment in mining areas. When selecting the optimal land reclamation scheme, LNNs (linguistic neutrosophic numbers) are suitable to describe the complex fuzzy evaluation information through linguistic truth, indeterminacy and falsity membership degrees. Furthermore, the Hamacher aggregation operators are good tools to handle multi-criteria decision making problems. Accordingly, the aim of this paper is to extend Hamacher aggregation operators with LNNs and then build a decision making framework for evaluating land reclamation schemes in mining areas.

Linguistic neutrosophic Hamacher aggregation operators and the application in evaluating land reclamation schemes for mines
Linguistic neutrosophic Hamacher aggregation operators and the application in evaluating land reclamation schemes for mines

Author: Weizhang Liang

Publisher: Infinite Study

Published:

Total Pages: 29

ISBN-13:

DOWNLOAD EBOOK

Land reclamation has become a significant way for the improvement of ecological environment in mining areas. When selecting the optimal land reclamation scheme, LNNs (linguistic neutrosophic numbers) are suitable to describe the complex fuzzy evaluation information through linguistic truth, indeterminacy and falsity membership degrees.

Linguistic neutrosophic power Muirhead mean operators for safety evaluation of mines
Linguistic neutrosophic power Muirhead mean operators for safety evaluation of mines

Author: Suizhi Luo

Publisher: Infinite Study

Published:

Total Pages: 21

ISBN-13:

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Safety is the fundamental guarantee for the sustainable development of mining enterprises. As the safety evaluation of mines is a complex system engineering project, consistent and inconsistent, even hesitant evaluation information may be contained simultaneously. Linguistic neutrosophic numbers (LNNs), as the extensions of linguistic terms, are effective means to entirely and qualitatively convey such evaluation information with three independent linguistic membership functions. The aim of our work is to investigate several mean operators so that the safety evaluation issues of mines are addressed under linguistic neutrosophic environment.

Neutrosophic Operational Research
Neutrosophic Operational Research

Author: Florentin Smarandache

Publisher: Springer Nature

Published: 2021-09-09

Total Pages: 628

ISBN-13: 3030571971

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This book addresses new concepts, methods, algorithms, modeling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, linear problems and new information related to optimization for the topic from the theoretical and applied viewpoints of neutrosophic sets and logic. The book is an innovatory of new tools and procedures, such as: Neutrosophic Statistical Tests and Dependent State Samplings, Neutrosophic Probabilistic Expert Systems, Neutrosophic HyperSoft Set, Quadripartitioned Neutrosophic Cross-Entropy, Octagonal and Spherical and Cubic Neutrosophic Numbers used in machine learning. It highlights the process of neutrosofication {which means to split the universe into three parts, two opposite ones (Truth and Falsehood), and an Indeterminate or neutral one (I) in between them}. It explains Three-Ways Decision, how the universe set is split into three different distinct areas, in regard to the decision process, representing: Acceptance, Noncommitment, and Rejection, respectively. The Three-Way Decision is used in the Neutrosophic Linguistic Rough Set, which has never been done before.

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding
Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Author: Samarjit Kar

Publisher: MDPI

Published: 2019-09-20

Total Pages: 394

ISBN-13: 3039211420

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Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

Modeling Invasive Alien Plant Species
Modeling Invasive Alien Plant Species

Author: H.O.W. Peiris

Publisher: CRC Press

Published: 2021-08-23

Total Pages: 170

ISBN-13: 1000422658

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Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty presents the application of different fuzzy set theory techniques in developing risk assessment models for invasive plant species- those whose introduction and spread outside their natural range threatens local biodiversity. Invasion risk of species is expressed by biological traits which would be considered as the risk factors accompanied with uncertainty and imprecision. The book considers both quantitative and qualitative inputs in modelling the invasive risk by incorporating different mathematical models based on fuzzy set theory operators, interval methods, and fuzzy linguistic operators. The proposed models can be applied for investigating risk of invasive alien plant species in various regions and conditions. Features: Uniquely merges mathematical models with biological expressions. Presents different factor-based models as a case study on the risk of invasive alien plant species. Explains how users can perform primary-level risk assessment through fuzzy modeling techniques. Appropriate for upper-level students, researchers, and practicing professionals, this book shows how conventional approaches such as probability theory can be of limited use to solve issues of uncertainty, and how they fuzzy set theory plays a better role in understanding uncertain system dynamics, such invasive plant modelling.

Applications and Theory of Analytic Hierarchy Process
Applications and Theory of Analytic Hierarchy Process

Author: Fabio De Felice

Publisher: BoD – Books on Demand

Published: 2016-08-31

Total Pages: 324

ISBN-13: 9535125605

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The purpose of this book is to provide an introduction to the theory and applications in the field of decision making, especially focused on Analytic Hierarchy Process, a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It was developed by Prof. Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. The idea of the book is to expand the reader's consciousness to deal with problems regarding the decision making. This book presents some application examples of Analytic Hierarchy. It contains original research and application chapters from different perspectives, and covers different areas such as supply chain, environmental engineering, safety, and social issues. This book is intended to be a useful resource for anyone who deals with decision making problems.

Multiple Criteria Decision Aiding
Multiple Criteria Decision Aiding

Author: Constantin Zopounidis

Publisher:

Published: 2012

Total Pages: 0

ISBN-13: 9781621007531

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The changes in the technological and business environment have complicated the nature of the decision-making process in real-world problems, thus motivating the development of new operations research (OR) methodologies. The traditional OR context is usually based on a single objective approach using profit (cost) maximisation (minimisation) criteria. However, it is now widely acknowledged that such an approach overlooks additional factors which are also highly relevant in a decision-making context. This book presents the recent advances to the theory of multicriteria analysis, covering all its major aspects in a unique edited volume.