"Fuzzy Inference System: Theory and Applications" ed. by Mohammad Fazle Azeem

This book is an attempt to accumulate the researches on diverse inter disciplinary field of engineering and management using Fuzzy Inference System (FIS).

The book is organized in seven sections with twenty two chapters, covering a wide range of applications.
Section I, caters theoretical aspects of FIS in chapter one.
Section II, dealing with FIS applications to management related problems and consisting three chapters.
Section III, accumulates six chapters to commemorate FIS application to mechanical and industrial engineering problems.
Section IV, elaborates FIS application to image processing and cognition problems encompassing four chapters.
Section V, describes FIS application to various power system engineering problem in three chapters.
Section VI highlights the FIS application to system modeling and control problems and constitutes three chapters.
Section VII accommodates two chapters and presents FIS application to civil engineering problem.

Contents
Preface
Section 1 Theory
1 Fuzzy Logic, Knowledge and Natural Language
Section 2 Application to Management Problems
2 Applications of Fuzzy Logic in Risk Assessment - The RA_X Case
3 A Fuzzy Approach for Risk Analysis with Application in Project Management
4 A Concise Fuzzy Rule Base to Reason Student Performance Based on Rough-Fuzzy Approach
Section 3 Application to Mechanical and Industrial Engineering Problems
5 Control of Efficient Intelligent Robotic Gripper Using Fuzzy Inference System
6 Fuzzy Logic Controller for Mechatronics and Automation
7 Fuzzy Inference Systems Applied to the Analysis of Vibrations in Electrical Machines
8 The Hybrid Intelligent Method Based on Fuzzy Inference System and Its Application to Fault Diagnosis
9 Some Studies on Noise and Its Effects on Industrial/Cognitive Task Performance and Modeling
10 Fuzzy Inference System for Data Processing in Industrial Applications
Section 4 Application to Image Processing and Cognition Problems
11 Fuzzy Inference Systems Applied to Image Classification in the Industrial Field
12 Edge Detection Based on Fuzzy Logic and Expert System
13 Type-2 Fuzzy Logic for Edge Detection of Gray Scale Images
14 Neuro-Fuzzy Prediction for Brain-Computer Interface Applications
Section 5 Application to Power System Engineering Problems
15 Fault Diagnosis in Power Distribution Network Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
16 A Multi Adaptive Neuro Fuzzy Inference System for Short Term Load Forecasting by Using Previous Day Features
17 Fuzzy Inference System in Energy Demand Prediction
Section 6 Application to System Modeling and Control Problems
18 Control Application Using Fuzzv Logic: Design of a Fuzzv Temperature Controller
19 An Evolutionary Fuzzy Hybrid System for Educational Purposes
20 System Identification Using Fuzzy Cerebellar Model Articulation Controllers
Section 7 Application to Civil Engineering Problems
21 Fuzzy Inference System as a Tool for Management of Concrete Bridges
22 Neural Network and Adaptive Neuro-Fuzzy Inference System Applied to Civil Engineering Problems