Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications, 9798369373538
Paperback
Unlock intelligent solutions: optimization, machine learning, and fuzzy logic unite.

Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications

$570.99

  • Paperback

    620 pages

  • Release Date

    20 February 2025

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Summary

Unleashing the Power of Intelligent Systems: Optimization, Machine Learning, and Fuzzy Logic

Optimization, machine learning, and fuzzy logic stand as cornerstones in the realm of computational intelligence, empowering solutions to intricate problems across diverse fields. Optimization hones in on discovering optimal solutions, enhancing efficiency, and minimizing resource utilization. Machine learning equips systems with the ability to learn from data, facilitating predictions and d…

Book Details

ISBN-13:9798369373538
Author:Toufik Mzili, Adarsh Kumar Arya, Dragan Pamucar, Momina Shaheen
Publisher:IGI Global
Imprint:Engineering Science Reference
Format:Paperback
Number of Pages:620
Release Date:20 February 2025
Weight:0g
Dimensions:254mm x 178mm
About The Author

Toufik Mzili

Mzili Toufik

Mzili Toufik holds the position of Assistant Professor in the Department of Computer Science at the Faculty of Science, Chouaib Doukkali University. Recognized as a distinguished researcher, he has made noteworthy contributions to the fields of metaheuristics, optimization, and scheduling problems. His scholarly impact is evident through numerous publications in esteemed Q1 journals. Additionally, Dr. Mzili Toufik has demonstrated his expertise as a peer reviewer for several prestigious journals, showcasing his commitment to advancing the academic discourse in his field.

Adarsh Arya

Adarsh Arya is a competent professional with nearly 20 years of experience in Research and Development / Teaching chemical engineering graduates and post graduates. He exercises judgment within generally defined practices in selecting methods & techniques for obtaining teaching solutions; ensuring compliance to quality measures and maintenance requisite documentation as well as records. He possesses skills in managing the administrative activities entailing student management, faculty appraisal/training and upholding of the institution’s motto. He has proficiency in teaching Oil and Gas Pipeline and core chemical engineering subjects to Chemical Engineering Graduate and post graduate students and experience in developing curriculum to accommodate different learning styles & maximize students’ comprehension. He has received research awards and has exposure in working with T.A.N.A.P. Gas Pipeline Project at Worley Parsons. He also has exposure in planning and organizing day-to-day research activities and resolving the procedural problem as appropriate to the timely accomplishment of research objectives. He is an effective leader with proven skills in leading teams during the project phase, training & guiding team members and enabling knowledge sharing among the team.

Dragan Pamucar - Editor

Dr. Dragan Pamucar is a Professor at the University of Belgrade, Faculty of Organizational Sciences. Dr. Pamucar received a Ph.D. in Applied Mathematics specializing in multi-criteria modeling and soft computing techniques from the University of Defence in Belgrade, Serbia, in 2013 and an MSc degree from the Faculty of Transport and Traffic Engineering in Belgrade in 2009. His research interest is in Computational Intelligence, Multi-criteria decision-making problems, Neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, and neutrosophic theory. Application areas include a wide range of logistics and engineering problems. Dr. Pamucar has five books and over 300 research papers published in SCI indexed International Journals. According to Scopus and Stanford University, he is among the World top 2% of scientists as of 2021. According to WoS and Clarivate, he is among the top 1% of highly cited researchers.

Momina Shaheen

Momina Shaheen, Fellow, Higher Education Academy (UK), is Lecturer in Computing, in University of Roehampton, London, United Kingdom. She is a Ph.D Scholar with 15+ journal publications and 4 conference publications in Computing and cutting edge technologies. She earned her master’s in software engineering from Bahria University Islamabad Campus in 2016. She has more than 6 years of experience in research and academia. She has supervised and initiated a number of projects in her career. She has lead different project in the area of Machine Learning, Data Science, Artificial Intelligence, Internet of things, Cognitive Sciences and Distributed Systems.

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