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Decision Support Systems for Sustainable Computing
  • Language: en
  • Pages: 286

Decision Support Systems for Sustainable Computing

  • Type: Book
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  • Published: 2024-06-03
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  • Publisher: Elsevier

Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance. Provides a broad overview of emerging trends and technologies in decision support systems applications Investigates recent trends and core concepts in digital technology transformation as applied to the circular economy and sustainable development Analyzes the application of decision support systems models across a range of case studies and processes which rely on multi-criteria decision-making and have been designed specifically to improve overall sustainability

Smart and Sustainable Operations and Supply Chain Management in Industry 4.0
  • Language: en
  • Pages: 428

Smart and Sustainable Operations and Supply Chain Management in Industry 4.0

  • Type: Book
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  • Published: 2023-03-08
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  • Publisher: CRC Press

Smart applications are transforming conventional supply chains into digital ones. To compete in today’s competitive market, organizations must utilize the merits of the Fourth Industrial Revolution while being sustainable, lean, and eco-conscious. Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 closes the gap and provides novel ideas, research, and applications. This book discusses smart and sustainable supply chain management concepts that are analyzed within the Industry 4.0 perspective. It also highlights green systems and smart applications within an Industry 4.0 setting. The book presents the latest technological developments, including disruptive technologies and their impact on smart and sustainable supply chains under the triple bottom line approach. For easy reader comprehension, each chapter will include a case study, a related problem, or a numerical example, as well as the solution. This book is written for academicians, practitioners, PhD students, and researchers involved in this area.

CO2 Emission based prioritization of bridge maintenance projects using neutrosophic fuzzy sets based decision making approach
  • Language: en
  • Pages: 13

CO2 Emission based prioritization of bridge maintenance projects using neutrosophic fuzzy sets based decision making approach

Climate change is one of the most challenging problems for the world, which leads researchers to study on the decrease of its impact to the environment at several disciplines. One of the most adverse effects on environment can be observed in transportation area. Hence, in this paper, the impact of bridge maintenance on the environment is inquired in the bridge maintenance prioritization perspective. The aim of this paper is to rank the bridge maintenance projects using type-2 neutrosophic number (T2NN) based fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) and TOPSIS (Technique For Order Preference By Similarity To An Ideal Solution) to test five alternative bridges, where a critical environmental criterion is introduced in this model, which addresses to additional CO2 emission because of truck detours in the event of a bridge closures. The applicability of the proposed model is demonstrated in a case study in Turkey. The evaluation findings show that the ranking results are robust and the CO2 emission criterion is found to be the dominant criterion in the multicriteria decision-making model proposed in this paper.

Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA
  • Language: en
  • Pages: 14

Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA

This approach combines the advantages of neutrosophic numbers sets, which can utilize uncertain and incomplete information, with a multi-attributive border approximation area comparison that provides formulation flexibility and easy calculation. Further, this study develops and integrates a techno-economic model for OWFs in the decision-making. A case study is performed to evaluate and rank five proposed OWF sites off the coast of New Jersey. To validate the proposed model, a comparison against three alternative T2NN fuzzy based models is performed. It is demonstrated that the implemented model yields the same ranking order as the alternative approaches. Sensitivity analysis reveals that changing criteria weightings does not affect the ranking order.

Collected Papers. Volume XIII
  • Language: en
  • Pages: 999

Collected Papers. Volume XIII

This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; Information Fusion; Statistics;...

q-Rung Orthopair Fuzzy Sets
  • Language: en
  • Pages: 558

q-Rung Orthopair Fuzzy Sets

This book collects chapters which discuss interdisciplinary solutions to complex problems by using different approaches in order to save money, time and resources. The book presents the results on the recent advancements in artificial intelligence, computational intelligence, decision-making problems, emerging problems and practical achievements in the broad knowledge management field. q-ROFS is one of the hot topics for all the researchers, industrialists as well as academicians. This book is of interest to professionals and researchers working in the field of decision making and computational intelligence, as well as postgraduate and undergraduate students studying applications of fuzzy se...

Pythagorean Fuzzy Sets
  • Language: en
  • Pages: 443

Pythagorean Fuzzy Sets

This book presents a collection of recent research on topics related to Pythagorean fuzzy set, dealing with dynamic and complex decision-making problems. It discusses a wide range of theoretical and practical information to the latest research on Pythagorean fuzzy sets, allowing readers to gain an extensive understanding of both fundamentals and applications. It aims at solving various decision-making problems such as medical diagnosis, pattern recognition, construction problems, technology selection, and more, under the Pythagorean fuzzy environment, making it of much value to students, researchers, and professionals associated with the field.

Decision Making in Interdisciplinary Renewable Energy Projects
  • Language: en
  • Pages: 289

Decision Making in Interdisciplinary Renewable Energy Projects

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Computational Intelligence for Engineering and Management Applications
  • Language: en
  • Pages: 925

Computational Intelligence for Engineering and Management Applications

This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.

Emerging Electrical and Computer Technologies for Smart Cities
  • Language: en
  • Pages: 387

Emerging Electrical and Computer Technologies for Smart Cities

  • Type: Book
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  • Published: 2024-07-03
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  • Publisher: CRC Press

This text discusses smart grid technologies including home energy management systems, demand management systems, source-side management systems and communication technologies for power supply management, and supervisory control and data acquisition. It further covers applications of rooftop solar PV panels, rooftop solar heating systems, solar streetlights, solar traffic signal systems, and electrical demand management for smart cities. This book: · Includes design and implementation of intelligent and smart techniques using artificial intelligence, the Internet of Things, and machine learning for the development of smart cities. · Covers important topics including smart grid power supply,...