Addressing the Weaknesses of Multi-Criteria Decision-Making Methods using Python - Semra Erpolat Tasabat - Grāmatas - Peter Lang AG - 9783631913345 - 2024. gada 31. jūlijs
Ja vāks un nosaukums nesakrīt, pareizs ir nosaukums

Semra Erpolat Tasabat
Addressing the Weaknesses of Multi-Criteria Decision-Making Methods using Python New ed edition

Cena
€ 28,49

Pasūtīts no attālās noliktavas

Paredzamā piegāde . gada 23. - 31. jūl.
Saņemiet paziņojumus par jauniem Semra Erpolat Tasabat izdevumiem

Mūsu klienti saka:

14 dienu atgriešanas politika saskaņā ar Eiropas patērētāju tiesību aizsardzības likumu
Top vieta Trustpilot
Pievienot savam iMusic vēlmju sarakstam

Not rated yet

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.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2024. gada 31. jūlijs
ISBN13 9783631913345
Izdevēji Peter Lang AG
Lapas 156
Izmēri 150 × 220 × 10 mm   ·   212 g
Valoda Vācu  

Mere med samme udgiver

Skatīt visus Semra Erpolat Tasabat ( piem., Paperback Book )