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Addressing the Weaknesses of Multi-Criteria Decision-Making Methods using Python Semra Erpolat Tasabat New ed edition
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Addressing the Weaknesses of Multi-Criteria Decision-Making Methods using Python
Semra Erpolat Tasabat
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.
| Media | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 31 juli 2024 |
| ISBN13 | 9783631913345 |
| Utgivare | Peter Lang AG |
| Antal sidor | 156 |
| Mått | 150 × 220 × 10 mm · 212 g |
| Språk | Tyska |