Soft Computing

Techniques in Engineering Sciences

Mangey Ram, Suraj B. Singh, Mangey Ram, Suraj B. Singh

• Publisher: De Gruyter
• Year: 2020
• Print ISBN: 9783110625608
• eBook ISBN: 9783110628616
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Information Management
• Index: Technology & Engineering

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.

De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.

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