Data Driven Modelling With Fuzzy Sets Embracing Uncertainty 1st Edition by Said Broumi,D Nagarajan,Michael Gr Voskoglou,S A Edalatpanah ISBN 1032550104 978-1032550107

Data Driven Modelling With Fuzzy Sets Embracing Uncertainty 1st Edition by Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. Edalatpanah – Ebook PDF Instant Download/Delivery: 1032550104, 978-1032550107

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Product details:

ISBN 10: 1032550104 

ISBN 13: 978-1032550107

Author: Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. Edalatpanah

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.

Table of contents: 

Chapter 1: Integrated Fuzzy Soft FCM Approach in Focused Decision Making

Priya R, Nivetha Martin, Aleeswari A

Chapter 2: Optimal Ranking Application of Integrated Fuzzy AHP-SPOTIS MCDM

Nivetha Martin, Jegankaruppiah S

Chapter 3: Parametric Decision Making in Fuzzy Environment

M. Gr. Voskoglou

Chapter 4: Distance Measures on Trapezoidal Intuitionistic Fuzzy Multi-Numbers and Application to Multi-Criteria Decision-Making Problems

Irfan Deli, H¨Umeyra Karad

Chapter 5: Trapezoidal Fuzzy Multi Aggregation Operator Based on Archimedean Norms And Their Application To Multi Attribute Decision-Making Problems

Davut Kesen, Irfan Deli

Chapter 6: Recent Trends and Advancements in Uncertain Inventory Management

Ankit Dubey, Ranjan Kumar

Chapter 7: A Comparative Study on Critical Path Method and Project Evaluation And Review Technique In Construction Under Uncertain Environment

M Navya Pratyusha, Ranjan Kumar

Chapter 8: A Short Literature on Linear Programming Problem Under Uncertainty

Shubham Kumar Tripathi, Ranjan Kumar

Chapter 9: A Note on Translation of A Bipolar-Valued Fuzzy Sets In Sheffer Stroke MTL-Algebras

I. Senturk, Ege University, T. Oner, Ege University, A. Rezaei

Chapter 10: Application of the Greedy Dhouib-Matrix-TP1 Method to Optimize The Transportation Problem Under Triangular Fuzzy Domain

Souhail Dhouib, Saima Dhouib, Aida Kharat

Chapter 11: An Approach Towards Shortest Path Problems Using the Concept

Of Cubical Fuzzy Information

Broumi Said, S.Krishna Prabha, M.Parimala, Mohamed Talea, Mohamed Eddahby 

Chapter 12: Different Forms of Linear Dodecagonal Fuzzy Number and Its Application

L. Jeromia Anthvanet, M. Geethalakshmi, A. Rajkumar 

Chapter 13: Different Forms of Non–Linear Dodecagonal Fuzzy Number And Its Application

L. Jeromia Anthvanet, M. Geethalakshmi, A. Rajkumar

Chapter 14: Applications of Vague Sets in Solving a Vague Transportation Model

Ms. Mary Tency E.L, Dr. Helen.M, Principal

Chapter 15: A Fuzzy Ishikawa Diagram to Represent and Evaluate The Quality Of Education

W. Ortega-Chávez, F. Campos-Solórzano, E. J. Díaz-Zúñiga , C. M. Zacarias-Mercado,  M. A. Flores-Romayna , E. López-Navarro

Chapter 16: A Novel Integrated FCM / MCDM Methodology for Evaluating Logistic Performance Index

N. Yapıcı Pehlivan

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