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008			230824s2024 si | fo |||| 0|eng d
020			_a9789819939398
024	7		_a10.1007/978-981-99-3939-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA403 _b2024 EB
100	1		_aZheng, Maosheng _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9690338
245	1	0	_aProbability-Based Multi-objective Optimization for Material Selection _cby Maosheng Zheng, Jie Yu, Haipeng Teng, Ying Cui, Yi Wang
250			_a2nd ed. 2024.
264		1	_aSingapore _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aHistory and Current Status of Material Selection with Multi - objective Optimization -- Introduction to Multi - objective Optimization in Material Selections -- Fundamental Principle of Probability - Based Multi - Objective Optimization and Applications -- Robustness Evaluation with Probability-Based Multi-objective Optimization -- Extension of Probability - based Multi - objective Optimization in Condition of the Utility with Desirable Value -- Hybrids of Probability - Based Multi - Objective Optimization with Experimental Design Methodologies -- Discretization of Simplified Evaluation in Probability-Based Multi-objective Optimization by Means of GLP and Uniform Experimental Design -- Fuzzy- based Probabilistic Multi-objective Optimization -- Cluster Analyses of Multiple Objectives -- Applications of Probability - based Multi - objective Optimization beyond Material Selection -- Treatment of Portfolio Investment by Means of Probability-Based Multi-objective Optimization -- Treatment of Multi-objective Shortest Path Problem by Means of Probability-Based Multi-objective -- Discussion on preferable probability, discretization, error analysis and hybrid of sequential uniform design with PMOO -- General Conclusions.
520			_aThe second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies (response surface methodology, orthogonal experimental design, and uniform experimental design) are all performed; robustness assessment and performance utility with desirable value are included; discretization treatment in the evaluation is presented; fuzzy-based approach and cluster analysis are involved; applications in portfolio investment and shortest path problem are concerned as well. The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone. It is designed to be used as a textbook for postgraduate and advanced undergraduate students in relevant majors, while also serving as a valuable reference book for scientists and engineers involved in related fields. .
988			_aSpringer_Engineering_2024
700			_995756 _aYu, Jie _eautor
700	1		_9690339 _aTeng, Haipeng _eautor
700	1		_9690340 _aCui, Ying _c(Professor of industrial and systems engineering) _eautor
700	1		_9690341 _aWang, Yi _c(Engineer) _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-3939-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2024 _dz _eb _zSI