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Multiple Criteria Decision Making by Multiobjective Optimization: A Toolbox

Multiple Criteria Decision Making by Multiobjective Optimization: A Toolbox
Kataloginformation
Feldname Details
Vorliegende Sprache eng
Hinweise auf parallele Ausgaben 861081978 Erscheint auch als (Druck-Ausgabe): ‡Kaliszewski, Ignacy: Multiple criteria decision making by multiobjective optimization
ISBN 978-3-319-32755-6
Name Kaliszewski, Ignacy
Miroforidis, Janusz
Name ANZEIGE DER KETTE Miroforidis, Janusz
Name Podkopaev, Dmitry
T I T E L Multiple Criteria Decision Making by Multiobjective Optimization
Zusatz zum Titel A Toolbox
Verlagsort Cham
Verlag Springer
Erscheinungsjahr 2016
2016
Umfang Online-Ressource (XXII, 118 p. 25 illus, online resource)
Reihe International Series in Operations Research & Management Science ; 242
Titelhinweis Druckausg.ISBN: 978-3-319-32755-6
Printed editionISBN: 978-3-319-32755-6
Erscheint auch als (Druck-Ausgabe): ‡Kaliszewski, Ignacy: Multiple criteria decision making by multiobjective optimization
ISBN ISBN 978-3-319-32756-3
Klassifikation KJMD
*90-01
90C29
90B50
91-01
91B06
KJT
BUS049000
658.40301
HD30.23
Kurzbeschreibung This textbook approaches optimization from a multi-aspect, multi-criteria perspective. By using a Multiple Criteria Decision Making (MCDM) approach, it avoids the limits and oversimplifications that can come with optimization models with one criterion. The book is presented in a concise form, addressing how to solve decision problems in sequences of intelligence, modelling, choice and review phases, often iterated, to identify the most preferred decision variant. The approach taken is human-centric, with the user taking the final decision is a sole and sovereign actor in the decision making process. To ensure generality, no assumption about the Decision Maker preferences or behavior is made. The presentation of these concepts is illustrated by numerous examples, figures, and problems to be solved with the help of downloadable spreadsheets. This electronic companion contains models of problems to be solved built in Excel spreadsheet files. Optimization models are too often oversimplifications of decision problems met in practice. For instance, modeling company performance by an optimization model in which the criterion function is short-term profit to be maximized, does not fully reflect the essence of business management. The company’s managing staff is accountable not only for operational decisions, but also for actions which shall result in the company ability to generate a decent profit in the future. This calls for management decisions and actions which ensure short-term profitability, but also maintaining long-term relations with clients, introducing innovative products, financing long-term investments, etc. Each of those additional, though indispensable actions and their effects can be modeled separately, case by case, by an optimization model with a criterion function adequately selected. However, in each case the same set of constraints represents the range of company admissible actions. The aim and the scope of this textbook is to present methodologies and methods enabling modeling of such actions jointly
2. Kurzbeschreibung Introduction -- Solving Decision Problems -- Decision Problem: Selection of a Single Variant -- Derivation of Efficient Variants -- Decision Problem: Selection of a Variant Portfolio - The Discrete Case -- Decision Problem: Selection of a Variant Portfolio - The Continuous Case -- Derivation of Efficient Portfolios -- Supporting the Process of the Most Preferred Variant Choice -- Decision Problems - Continuation -- Decision Problem: Selection of a Stock Portfolio -- Relations
1. Schlagwortkette Mehrkriterielle Optimierung
Multikriteria-Entscheidung
Entscheidungsunterstützungssystem
ANZEIGE DER KETTE Mehrkriterielle Optimierung -- Multikriteria-Entscheidung -- Entscheidungsunterstützungssystem
SWB-Titel-Idn 477149073
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-3-319-32756-3
Internetseite / Link Volltext
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