Multiple Criteria Decision Aid, Softcover reprint of the original 1st ed. 2018 Methods, Examples and Python Implementations Springer Optimization and Its Applications Series, Vol. 136
Auteurs : Papathanasiou Jason, Ploskas Nikolaos
Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil)
Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium)
This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France)
1. TOPSIS.- 2. VIKOR.- 3. PROMETHEE.- 4. SIR.- 5. AHP.- 6. Goal Programming.– Appendix.
Date de parution : 01-2019
Ouvrage de 173 p.
15.5x23.5 cm
Date de parution : 09-2018
Ouvrage de 173 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 105,49 €
Ajouter au panierThème de Multiple Criteria Decision Aid :
Mots-clés :
Python script; fuzzy number theory; group decision making; mcdm methodologies; multiple criteria decision making; Lexicographic Goal Programming; Weighted Goal Programming; Chebyshev Goal Programming; Classical Goal Programming; Rank reversal; AHP; SIR; PROMETHEE; VIKOR; Fuzzy VIKOR methodology; trapezoidal fuzzy numbers; Fuzzy TOPSIS; TOPSIS; Multiple Criteria Decision Aid; unicriterion optimization models