Soft Computing: Techniques in Engineering Sciences

✍ Scribed by Mangey Ram, Suraj B. Singh

• Publisher: De Gruyter
• Year: 2020
• Tongue: English
• Leaves: 230
• Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences)
• Category: Library

✦ Synopsis

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.

✦ Table of Contents

Preface
Contents
About the editors
List of contributors
1 Application of neural network to detect freezing of gait in patients with Parkinson’s disease
2 A new fuzzy de novo programming approach for optimal system design
3 A probabilistic two-level programming in noncooperative game under fuzzy environment: comparative study
4 Intuitionistic fuzzy trigonometric distance and similarity measure and their properties
5 Distributed Activation Energy Modeling by the transmutation of different density functions
6 Air quality forecasting using soft computing techniques
7 Arithmetic operations on generalized semielliptic intuitionistic fuzzy numbers and their application in multicriteria decision making
8 Method for solving intuitionistic fuzzy assignment problem
9 Optimization of EDM process through evolutionary computing and fuzzy MCDM techniques
10 Fuzzy reliability of system using different types of bifuzzy failure rates of components
Index