Data-Driven Modelling with Fuzzy Sets Embracing Uncertainty Intelligent Data-Driven Systems and Artificial Intelligence Series

Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility distributions, fuzzy sets were extensively used to embrace uncertainty modelling. Uncertainty is defined as the shortage of precise knowledge or complete information and possibility theory is devoted to the handling of incomplete information. Zadeh articulated the relationship between possibility and probability, noticing that what is probable must preliminarily be possible. Following the Zadeh?s fuzzy set, various generalizations (intuitionistic, neutrosophic, rough, soft sets, etc.) have been introduced enabling a more effective management of all types of the existing in real world uncertainty. This book presents recent theoretical advances and applications of fuzzy sets and their extensions to Science, Humanities and Education.

This book:

• Presents a qualitative assessment of big data in the education sector using linguistic Quadri partitioned 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 value neutrosophic Markov chain.
• Illustrates multi-granulation single-valued neutrosophic probabilistic rough sets for teamwork assessment.
• Examines estimation of distribution algorithm based on multiple attribute group decision-making to evaluate teaching quality.

It is primarily written for Senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering.

1. Integrated Fuzzy Soft FCM Approach in Focused Decision Making. 2. Optimal Ranking Application of Integrated Fuzzy AHP-SPOTIS MCDM. 3. Parametric Decision Making in Fuzzy Environment. 4. Distance measures on trapezoidal intuitionistic fuzzy multi-numbers and application to multi-criteria decision-making problems. 5. Trapezoidal Fuzzy Multi Aggregation Operator Based on Archimedean Norms and Their Application to Multi Attribute Decision-Making Problems. 6. Recent Trends and Advancements in uncertain Inventory Management. 7. A Comparative Study on Critical Path Method and Project Evaluation and Review Technique in Construction under Uncertain Environment. 8. A Short Literature on Linear Programming Problem under Uncertainty. 9. A Note on Translation of a Bipolar-Valued Fuzzy Sets in Sheffer Stroke MTL-Algebras. 10. Application of the Greedy Dhouib-Matrix-TP1 Method to Optimize the Transportation Problem under Triangular Fuzzy Domain. 11. An approach towards shortest path problems using the concept of cubical fuzzy information. 12. Different forms of Linear Dodecagonal Fuzzy Number and its Application. 13. Different Forms of Non–Linear Dodecagonal Fuzzy Number and its Application. 14. Applications of Vague Sets in Solving a Vague Transportation Model. 15. A fuzzy Ishikawa diagram to represent and evaluate the quality of education. 16. A Novel Integrated FCM / MCDM Methodology for Evaluating Logistic Performance Index

Said Broumi is serving as an Assistant Professor at Regional Center for the Professions of Education and Training, Casablanca-Settat, Morocco. Dr. Broumi Said completed his MSc and PhD in Computer Science from University of Hassan II of Casablanca, Morocco. He is permanent member at Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco. His research interests are in the field of graph theory, extended fuzzy graphs, decision analysis and neutrosophic theory. He has diversity in his research work. He has published several works on neutrosophic graph theory, soft set theory, multi-attribute decision analysis and some alternative theories of Neutrosophic Mathematics. He has published more than 200 research articles in international peer-reviewed ISI Indexed /Impact factor journals. Some of his papers have been published in high impact journals including, Complex & Intelligent Systems, Computational and Applied Mathematics, Symmetry, and Journal of Neutrosophic Set and Systems. His work has largely been cited and total citation is more than 5992 (Scholar Google, H-index 41). He has presented his research work at some national as well as international conferences. He has been acting as a reviewer for a number of international journals. He is also an Editor in chief of the following journals:

1. International Journal of Neutrosophic Set and Systems

2. International Journal of Neutrosophic Science

Dr. D. Nagarajan is a Professor in the Department of Mathematics, Rajalakshmi Institute of Technology, Chennai, India. He received his Ph.D., from Manonmaniam Sundaranar University,2007. He has a total of twenty-three years of experience in both academia and research National as well as International Institutions. He has published 110 research articles in international reputed journals as well as serving as a reviewer for many peers reviewed journals. He has two patents on his credit.Hi