Fuzzy Logic for Planning and Decision Making:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1997
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Schriftenreihe: | Applied Optimization
8 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | This volume starts with the basic concepts of Fuzzy Logic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and the extension principle underlying the algorithmic operations. Several chapters are devoted to applications of Fuzzy Logic in various branches of Operations Research: PERT planning with uncertain activity durations, SMART and the AHP for Multi-Criteria Decision Analysis (MCDA) with vague preferential statements, ELECTRE usingthe ideasof the AHP and SMART, and Multi-Objective Optimization (MOO) with weighted degrees of satisfaction. Finally, earlier studies of colour perception illustrate the attemptsto find a physiological basisfor the set-theoretical and the algorithmic operations in Fuzzy Logic. The last chapter also discusses some key issues in linguistic categorization and the prospects of Fuzzy Logic as a multi-disciplinary research activity. I am greatly indebted to the Department of Mechanical Engineering and Applied Mechanics, College of Engineering, University of Michigan, Ann Arbor, for the splendid opportunity to start the actual work on this book during my sabbatical leave from Delft (1993 - 1994); to LAMSADE, Universite de Paris-Dauphine, where many ideas emerged during two winter visits (1989, 1990); to the International Institute for Applied Systems Analysis, Laxenburg, Austria, where I got further inspiration during a number of summer visits (1992, 1995, and 1996); and to the NISSAN Foundation in The Netherlands who enabled me to visit several Japanese universities (June 1996). Moreover, I gratefully acknowledge the stimulating supportgiven by many colleagues inthe International Society on Multi-Criteria Decision Making and in the European Working Group "Aide Multicritere Ii la Decision" |
Beschreibung: | 1 Online-Ressource (X, 198 p) |
ISBN: | 9781475726183 9781441947796 |
ISSN: | 1384-6485 |
DOI: | 10.1007/978-1-4757-2618-3 |
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isbn | 9781475726183 9781441947796 |
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spelling | Lootsma, Freerk A. 1936- Verfasser (DE-588)170041719 aut Fuzzy Logic for Planning and Decision Making by Freerk A. Lootsma Boston, MA Springer US 1997 1 Online-Ressource (X, 198 p) txt rdacontent c rdamedia cr rdacarrier Applied Optimization 8 1384-6485 This volume starts with the basic concepts of Fuzzy Logic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and the extension principle underlying the algorithmic operations. Several chapters are devoted to applications of Fuzzy Logic in various branches of Operations Research: PERT planning with uncertain activity durations, SMART and the AHP for Multi-Criteria Decision Analysis (MCDA) with vague preferential statements, ELECTRE usingthe ideasof the AHP and SMART, and Multi-Objective Optimization (MOO) with weighted degrees of satisfaction. Finally, earlier studies of colour perception illustrate the attemptsto find a physiological basisfor the set-theoretical and the algorithmic operations in Fuzzy Logic. The last chapter also discusses some key issues in linguistic categorization and the prospects of Fuzzy Logic as a multi-disciplinary research activity. I am greatly indebted to the Department of Mechanical Engineering and Applied Mechanics, College of Engineering, University of Michigan, Ann Arbor, for the splendid opportunity to start the actual work on this book during my sabbatical leave from Delft (1993 - 1994); to LAMSADE, Universite de Paris-Dauphine, where many ideas emerged during two winter visits (1989, 1990); to the International Institute for Applied Systems Analysis, Laxenburg, Austria, where I got further inspiration during a number of summer visits (1992, 1995, and 1996); and to the NISSAN Foundation in The Netherlands who enabled me to visit several Japanese universities (June 1996). Moreover, I gratefully acknowledge the stimulating supportgiven by many colleagues inthe International Society on Multi-Criteria Decision Making and in the European Working Group "Aide Multicritere Ii la Decision" Mathematics Logic, Symbolic and mathematical Operations research Mathematical Logic and Foundations Operation Research/Decision Theory Mathematical Modeling and Industrial Mathematics Mathematik Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 s Operations Research (DE-588)4043586-6 s 1\p DE-604 Applied Optimization 8 (DE-604)BV010841718 8 https://doi.org/10.1007/978-1-4757-2618-3 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Lootsma, Freerk A. 1936- Fuzzy Logic for Planning and Decision Making Applied Optimization Mathematics Logic, Symbolic and mathematical Operations research Mathematical Logic and Foundations Operation Research/Decision Theory Mathematical Modeling and Industrial Mathematics Mathematik Fuzzy-Logik (DE-588)4341284-1 gnd Operations Research (DE-588)4043586-6 gnd |
subject_GND | (DE-588)4341284-1 (DE-588)4043586-6 |
title | Fuzzy Logic for Planning and Decision Making |
title_auth | Fuzzy Logic for Planning and Decision Making |
title_exact_search | Fuzzy Logic for Planning and Decision Making |
title_full | Fuzzy Logic for Planning and Decision Making by Freerk A. Lootsma |
title_fullStr | Fuzzy Logic for Planning and Decision Making by Freerk A. Lootsma |
title_full_unstemmed | Fuzzy Logic for Planning and Decision Making by Freerk A. Lootsma |
title_short | Fuzzy Logic for Planning and Decision Making |
title_sort | fuzzy logic for planning and decision making |
topic | Mathematics Logic, Symbolic and mathematical Operations research Mathematical Logic and Foundations Operation Research/Decision Theory Mathematical Modeling and Industrial Mathematics Mathematik Fuzzy-Logik (DE-588)4341284-1 gnd Operations Research (DE-588)4043586-6 gnd |
topic_facet | Mathematics Logic, Symbolic and mathematical Operations research Mathematical Logic and Foundations Operation Research/Decision Theory Mathematical Modeling and Industrial Mathematics Mathematik Fuzzy-Logik Operations Research |
url | https://doi.org/10.1007/978-1-4757-2618-3 |
volume_link | (DE-604)BV010841718 |
work_keys_str_mv | AT lootsmafreerka fuzzylogicforplanninganddecisionmaking |