Addressing the Weaknesses of Multi-Criteria Decision-Making Methods using Python

Semra Erpolat Tasabat; Tugba KIRAL Ozkan; Olgun Aydin

doi:10.3726/b22103

Addressing the Weaknesses of Multi-Criteria Decision-Making Methods using Python

Abstract

The book aims to draw attention to the weaknesses in Multi-Criteria Decision-Making (MCDM) methods and provide insights to improve the decision-making process. By addressing these weaknesses, it seeks to enhance the accuracy and effectiveness of MCDM methods in selecting the best alternatives in various fields. The book covers popular MCDM methods such as TOPSIS, ELECTRE, VIKOR, and PROMETHEE. It compares traditional methods with the proposed modified Human Development Index (HDI) data using Python code examples. The target audience for the book includes computer scientists, engineers, business, and financial management professionals, as well as anyone interested in MCDM and its applications.

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Details

Category:

Monographic publication

Type:

książka - monografia autorska/podręcznik w języku o zasięgu międzynarodowym

Language:

English

Publication year:

2024

Bibliographic description:

Erpolat Tasabat S., Ozkan T. K., Aydin O.: Addressing the Weaknesses of Multi-Criteria Decision-Making Methods using Python. : Peter Lang Publishing Group, 2024. ISBN 9783631913376

DOI: