Experience of the game theory application in construction management

By Friedel Peldschus. 2008

76 citations recorded by the source corpus.

Abstract The game theory allows mathematical solutions of conflict situations. Besides the fairly established application to economical problems, approaches to problems in construction operation have been worked out. An overview of applications is given. Solution strategies for such engineering problems are collected. Furthermore, concrete application examples are presented and an overview of further potential applications is given. Solutions of two‐person zero‐sum games are discussed as well as approaches to fuzzy games.

Subfields: Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a7551bbf3955fa2fd3b889db332578997f0db2b2

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In Control and Systems Engineering

In Management Science and Operations Research

Citations in the corpus

A new additive ratio assessment (ARAS) method in multicriteria decision‐making (2010, methodology): “Techniques and planning methods and decision-making methods develop dynamically (Kapliński 2008c; Peldschus 2008; Ginevičius and Podvezko 2008..., a, b; Zavadskas et al. 2008c; Ustinovichius et al. 2007; Plebankiewicz 2009; Ulubeyli and Kazaz 2009; Jakimavicius and Burinskiene 2009; Šijanec Zavrl et”
Risk assessment of construction projects (2010, methodology): “There is a wide range of methods (Ulubeyli and Kazaz 2009; Jakimavicius and Burinskiene 2009a, b; Plebankiewicz 2009; Liaudanskiene et al. 2009; Liu 2009; Dytczak and Ginda 2009; Podvezko 2009) based on multi-criteria utility theory: SAW – Simple Additive Weighting (Ginevičius et al. 2008b); SAW-G (”
Multiple nash equilibriums and evaluation of strategies. New application of MCDM methods (2014, background): “The main application of matrix games is the selection of variants, which is a problem of multi-criteria decisions (Peldschus 2007, 2008; Meszek 2001, 2004, 2007, 2013; Zagorskas, Turskis 2006; Kaplinski, Tamosaitiene 2010).”
The analysis of the quality of the results obtained with the methods of multi‐criteria decisions (2009, methodology): “In order to fulfil the above-mentioned requirements, the following formula was presented (Peldschus 1986, 2008): b a aij i ij ij = min 3 , if min i ij a is favourable, (5) b a aij ij i ij = max 2 , if max i ij a is favourable.”