Neutrosophic Sets in Decision Analysis and Operations Research

Neutrosophic Sets in Decision Analysis and Operations Research

Mohamed Abdel-Basset (Zagazig University, Egypt) and Florentin Smarandache (University of New Mexico, USA)
Release Date: December, 2019|Copyright: © 2020 |Pages: 470
DOI: 10.4018/978-1-7998-2555-5
ISBN13: 9781799825555|ISBN10: 1799825558|EISBN13: 9781799825579|ISBN13 Softcover: 9781799825562
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Description & Coverage
Description:

In information technology, the concepts of cost, time, delivery, space, quality, durability, and price have gained greater importance in solving managerial decision-making problems in supply chain models, transportation problems, and inventory control problems. Moreover, competition is becoming tougher in imprecise environments. Neutrosophic sets and logic are gaining significant attention in solving real-life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy.

Neutrosophic Sets in Decision Analysis and Operations Research is a critical, scholarly publication that examines various aspects of organizational research through mathematical equations and algorithms and presents neutrosophic theories and their applications in various optimization fields. Featuring a wide range of topics such as information retrieval, decision making, and matrices, this book is ideal for engineers, technicians, designers, mathematicians, practitioners of mathematics in economy and technology, scientists, academicians, professionals, managers, researchers, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Algorithm
  • Communication Network
  • Decision Making
  • Graphs
  • Information Retrieval
  • Matrices
  • Neutrosophic Linear Programming
  • Neutrosophic Sets
  • Python
  • Relational Equations
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Editor/Author Biographies

Mohamed Abdel-Basset received his B.Sc., M.Sc., and the Ph.D. in Operations Research from Faculty of Computers and Informatics, Zagazig University, Egypt. His current research interests are Optimization, Operations Research, Data Mining, Computational Intelligence, Applied Statistics, Decision support systems, Robust Optimization, Engineering Optimization, Multi-objective Optimization, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He is working on the application of multi-objective and robust meta-heuristic optimization techniques. He is also an/a Editor/reviewer in different international journals and conferences. He has published more than 150 articles in international journals and conference proceedings. He holds the program chair in many conferences in the fields of decision making analysis, big data, optimization, complexity and the internet of things, as well as editorial collaboration in some journals of high impact.

Florentin Smarandache has published many papers and books on mathematics and science. See UNM's website: http://fs.gallup.unm.edu/FlorentinSmarandache.htm.

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