Analitički Hijerarhijski Proces (AHP): softversko rešenje u programskom jeziku Python | Analytic Hierarchy Process (AHP): a software solution in the Python programming language
2021
Blagojević, Boško | Bezdan, Jovana | Bezdan, Atila | Vulević, Tijana | Baumgertel, Aleksandar | Vranešević, Milica | Zemunac, Radoš
This paper presents a sofware solution for Analytic Hierarchy Process (AHP) – one of the most popular multi-criteria decision analysis (MCDA) methods – in the Python programming language. The presented software is named “PyAHP-LLS” and can be used for hierarchy of standard decisionmaking problem which contains goal, criteria and alternatives. PyAHP-LLS uses logarithmic least squares (LLS) prioritization method to compute priority vectors and geometric consistency index (GCI) to determine consistency of the decision maker. PyAHP-LLS is used for the decision-making problem related to selection of suitable method for calculating evapotranspiration within the standardized precipitation evapotranspiration index (SPEI) modified for the Vojvodina region. Goal of PyAHP-LLS is to make usage of AHP easier for professionals and researchers and to increase interest of students in the Python programming language and MCDA. PyAHP-LLS is free of charge and can be downloaded from https://github.com/BoskoBlagojevic/PythonAHP.
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Editeur Poljoprivredni fakultet, Novi Sad (Srbija) | Faculty of Agriculture, Novi Sad (Serbia)
ISSN 0546-8264Cette notice bibliographique a été fournie par Matica Srpska Library
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