A New Type of Possibility Degree of Interval Number and Its Application in Interval Optimization
This chapter first proposes a new possibility degree model of interval number to realize quantitative comparison for not only overlapping intervals but also separate intervals, and then applies it to the nonlinear interval optimization.
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Chao Jiang Xu Han Huichao Xie
Nonlinear Interval Optimization for Uncertain Problems
Springer Tracts in Mechanical Engineering Series Editors Seung-Bok Choi, College of Engineering, Inha University, Incheon, Korea (Republic of) Haibin Duan, Beijing University of Aeronautics and Astronautics, Beijing, China Yili Fu, Harbin Institute of Technology, Harbin, China Carlos Guardiola, CMT-Motores Termicos, Polytechnic University of Valencia, Valencia, Spain Jian-Qiao Sun, University of California, Merced, CA, USA Young W. Kwon, Naval Postgraduate School, Monterey, CA, USA Francisco Cavas-Martínez, Departamento de Estructuras, Universidad Politécnica de Cartagena, Cartagena, Murcia, Spain Fakher Chaari, National School of Engineers of Sfax, Sfax, Tunisia
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Chao Jiang · Xu Han · Huichao Xie
Nonlinear Interval Optimization for Uncertain Problems
Chao Jiang College of Mechanical and Vehicle Engineering Hunan University Changsha, China
Xu Han Hebei University of Technology Hongqiao District Tianjin, China
Huichao Xie College of Material Science and Engineering Central South University of Forestry and Technology Changsha, China
ISSN 2195-9862 ISSN 2195-9870 (electronic) Springer Tracts in Mechanical Engineering ISBN 978-981-15-8545-6 ISBN 978-981-15-8546-3 (eBook) https://doi.org/10.1007/978-981-15-8546-3 Translation from the Chinese language edition: 区间不确定性优化设计理论与方法, © Science Press 2017. Published
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