Multiple Criteria Decision Making by Multiobjective Optimization

A Toolbox
Softcover Nachdruck of the original 1. Auflage 2016
ISBN: 978-3-319-81362-2
Verlag: Springer

Buch, Englisch, Band 242, 118 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 226 g

Reihe: International Series in Operations Research & Management Science

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.

Zielgruppe

Graduate

Autoren/Hrsg.

Kaliszewski, Ignacy

Miroforidis, Janusz

Podkopaev, Dmitry

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Mathematik | Informatik Mathematik Operations Research
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie

Inhaltsverzeichnis

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.

Über Autor(innen)

Ignacy Kaliszewski, Full Professor at the Systems Research Institute of the Polish Academy of Sciences, graduated from the Technical University of Warsaw. He got his Ph.D. and habilitation degrees from the Systems Research Institute of the Polish Academy of Science for his research in quantitative management science and operations research. He has published over 40 scientific papers in journals and books of international circulation and two monographs: Quantitative Pareto Analysis by Cone Separation Technique (Kluwer Academic Publ., Dordrecht, 1994), Soft Computing for Complex Multiple Criteria Decision Making (Springer, 2006). His current field of research is decision making in multicriteria environment.

Janusz Miroforidis is an Assistant Professor at the Systems Research Institute of the
Polish Academy of Sciences. He received his M.S. degree in computer science
from the University of Wroclaw, and his Ph.D. from the Systems Research
Institute of the Polish Academy of Science for his research in soft computing
and MCDM methods for management needs. His major research interests include computer
aided multiple criteria decision making, particularly as applied to complex
decision problems and evolutionary multiobjective optimization. He is a
co-founder of Treeffect, a consulting company.

Dmitry Podkopaev is a Researcher and
Associate Professor for the Systems Research Institute at the Polish Academy of
Sciences. His interests include Multiple Criteria Decision Making and Discrete
Optimization. He has experience in research and software development projects
(as Analyst, Developer, Programmer), as well as high school teaching.