TOPSIS Algorithms for Multiple Objectives Decision Making: Large Scale Programming Approach Illustrated Edition

Author

Tarek Abou-El-Enien

A Brief Description of the Book

The book “TOPSIS Algorithms for Multiple Objectives Decision Making: Large Scale Programming Approach Illustrated Edition” is a specialized text focusing on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision analysis method.

This book consists of five chapters.

Chapter (1) presents a literature review on the theory, softwares and applications of multiple criteria decision making problems.

 chapter (2),  extend TOPSIS (Technique for Order Preference by Similarity Ideal Solution) for solving Large Scale Multiple Objective Decision Making (LSMODM) problems.

 Chapter (3),  extend TOPSIS for solving LSMODM problems with fuzzy parameters in the right hand side of the independent constraints.

 chapter (4),  extend TOPSIS for solving Interactive Large Scale Multiple Objective Programming problems with fuzzy parameters in the objective functions and the right hand side of the independent constraints.

 Chapter (5) focuses on the solution of a Large Scale Integer Linear Multiple Objective Decision Making with chance constraints (CHLSILMODM) of a special type through the TOPSIS approach.

 Link:

https://www.amazon.com/TOPSIS-Algorithms-Multiple-Objectives-Decision/dp/3659431710