The chapter focuses on the problem of analyzing and selecting intelligent softwareIntelligent softwaresin Air CargoAir cargo in the concept of Aviation 4.0Aviation 4.0. First, the notions, problems and challenges linked to air cargo are discussed. Recent developments, ongoing innovative projects and unfilled gaps in the area of intelligent air cargo software are presented. Next, the proposed method to analyze a select software to be used by air cargo companies is described. It is a modified version of one of the recent multi-criteria decision-making methods, called CODASCOmbinative Distance-Based ASsessment (CODAS). Its original, crisp version and its existing fuzzy extensions are first presented. Next, an original extension of the method, using Fermatean fuzzy setsFermatean fuzzy sets, is proposed. In the application section a logistics company is considered, which is facing the problem of selecting software supporting the air cargo process. The criteria are selected by experts holding various positions in the company, and three alternatives of air cargoAir cargo software provider are determined. Then, the proposed method is applied to solve the intelligent softwareIntelligent softwares selection problem. Finally, conclusion and future research perspectives are given.


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    Title :

    Analysis of Intelligent Software Implementations in Air Cargo Using Fermatean Fuzzy CODAS Method


    Additional title:

    Studies in Systems, Decision and Control


    Contributors:


    Publication date :

    2021-08-27


    Size :

    27 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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