Intelligent Decision Making in Transport. Evaluation of Transportation Modes (Types of Vehicles) Based on Multiple Criteria Methodology

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 844)


Decision making highly influences peoples’ lives and their activities. Unfortunately, nowadays decision-making process is very often affected by feeling of uncertainty and risk, whereas decision problems have become increasingly complex. In these circumstances, the meaning of ‘intelligence’ aspect is gaining an importance as it highly enhances the possibility of making the right decision. 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 system, which is being defined as a set of different types of elements, relationships and processes. One of the transport’s element is transport facility point - especially car fleet (different kinds of vehicles). Selection of the most desired vehicles may determine the success of the whole transportation system for the company. Therefore, the process of evaluating and selecting the used fleet should be carefully considered and based on the intelligent approach. Also, various types of tools/techniques for intelligent decision making can be used e.g. Multiple Criteria Decision Making, Group Decision Making, Artificial Neural Networks, Metaheuristic, Fuzzy Logic, Case – Based Reasoning and Expert Systems. In the case study described, the author implements MCDM Methodology (especially Electre III/IV method) in order to make the right decision during selection of the most desired variant/type of the vehicle.


Decision making Intelligence Transportation Multi-criteria decision making Electre III/IV method 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Lodz University of TechnologyLodzPoland

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