E-Book, Englisch, 322 Seiten
Tzeng / Huang Fuzzy Multiple Objective Decision Making
Erscheinungsjahr 2013
ISBN: 978-1-4665-5462-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 322 Seiten
ISBN: 978-1-4665-5462-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Focusing on methods and applications used in multiple objective decision making (MODM), this work presents mathematical tools for complex decision making. A follow-up to the authors' Multiple Attribute Decision Making, the book particularly focuses on fuzzy methodology. The methodological part of the text explains the theory of each method and gives numerical examples so that readers can better understand the procedures of MODM methods. In the applications section, the authors cover various methods for solving realistic MODM problems.
Autoren/Hrsg.
Weitere Infos & Material
Introduction. Concepts of Decision Space and Objective Space. Traditional Methods for Solving MODM. Goal Programming. Compromise Solution. Achieving Level: Fuzzy Goal. Achieving Level: Fuzzy Goal and Fuzzy Contracts. Two Phases for Achieving Level: Fuzzy Goal and Fuzzy Contracts. De Novo Programming. De Novo Programming Based on Changeable Space in Decision Space and Objective Space. TOPSIS for MODM. DEA: Traditional DEA, Multi-Objective Programming to DEA, Network DEA, and MOP to Network DEA. Bi-Level Multi-Objective Programming. Multi-Level Multi-Objective Programming. Multi-Stage Multi-Objective Programming. Multi-Objective Programming in Dependence among Objectives. Multiple Objective Planning for a Production and Distribution Model of the Supply Chain: Case of a Bicycle Manufacturer. Multi-Objective Optimal Planning for Designing Relief Delivery Systems. Optimal Fuzzy Multi-Criteria Expansion of Competence Sets Using Multi-Objectives Evolutionary Algorithms. Motivation and Resource Allocation for Strategic Alliance through De Novo Perspective. Choosing Best Alliance Partners and Allocating Optimal Alliance Resources Using the Fuzzy Multi-Objective Dummy Programming Model. A Novel Hybrid Model for Portfolio Selection. Fuzzy Multi-Level Multi-Objective for Supply Chain Plan: A Textile Industry Example.
