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Scientific And Technical Conference Transport Systems Theory And Practice

TSTP 2019: Smart and Green Solutions for Transport Systems pp 67–79Cite as

MCDM as the Tool of Intelligent Decision Making in Transport. Case Study Analysis

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1091))

Abstract

Nowadays, the decision-making process is often affected by various risk factors, which may have negative consequences and lead to wrongful decisions. In these circumstances, the meaning of ‘intelligence’ aspect is gaining in importance as it highly enhances the possibility of making the right decision. One of the tool used in Intelligent Decision Making is Multiple Criteria Decision Making (MCDM) Methodology, application of which highly increases rationality in the selection process. It is composed of various methods, classified by the author as the intelligent tools. Additionally, Intelligent Decision Making models are very useful in various sectors of economy, including transportation sector. The typical decision problem may be e.g. the process of evaluating and selecting transportation systems and their components, such as logistics operators for example. Yet, the cooperation with the specialised, effective logistic operator may determine the success of the whole transportation process in the company. Therefore, the process of evaluating and selecting the main and the key logistics operators should be carefully considered and based on the intelligent approach. Pursuant to the main idea of the article, for Intelligent Decision Making can be used e.g. MCDM Methodology and its various methods. One of them – Promethee II will be applied, in order to make the right decision during the selection of the most desired variant – logistics operator.

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Authors and Affiliations

  1. Lodz University of Technology, Lodz, Poland

    Barbara Galińska

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  1. Barbara Galińska
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Correspondence to Barbara Galińska .

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Editors and Affiliations

  1. Faculty of Transport, Silesian University of Technology, Katowice, Poland

    Grzegorz Sierpiński

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Galińska, B. (2020). MCDM as the Tool of Intelligent Decision Making in Transport. Case Study Analysis. In: Sierpiński, G. (eds) Smart and Green Solutions for Transport Systems. TSTP 2019. Advances in Intelligent Systems and Computing, vol 1091. Springer, Cham. https://doi.org/10.1007/978-3-030-35543-2_6

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