A complete and robust software system has been developed in order to tackle the inherent problems and to effectively assist the consumer in the decision process of car selection. The software provides a systematic selection methodology by employing modern, flexible programming and computational tools, and encodes the consumer' s preferences/needs using fuzzy logic principles, thus offering at the same time, an informative medium and a decision support tool. The developed system consists of three functional modules: (i) the user-friendly GUI module, implemented in Visual Basic, which accepts the user' s preferences in linguistic terms, if needed, and provides the evaluation process results; (ii) a relational database, implemented in Microsoft Access, which incorporates technical and economic data, as well as producers and dealers characteristics, for more than 400 car models available today in the Greek market; and (iii) the inference engine, implemented in the MATLAB Fuzzy Logic Toolbox, which employs fuzzy logic to encode the user preferences, and to evaluate and rank the car models, subject to the user's criteria. The software system is accompanied by the economic assessment module, which computes the worth present value of the car, and provides the potential consumer with the economic implications pertaining to his choices.


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    Title :

    A knowledge-based intelligent decision support system for car selection problem


    Contributors:


    Publication date :

    2001


    Size :

    6 Seiten, 2 Bilder, 1 Tabelle, 9 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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