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About this book

This book presents the multi-criteria approach to decision support, as well as the various multi-criteria tools to help avoid multi-objective optimization. The book is intended as a tool for understanding the multi-criteria tools for decision support and modeling in mathematical programming. It helps to structure models, to easily model complex constraints, to have a basic modeling guide for any multi-criteria system and to better understand models already existing in the literature.

The book is structured in the same order as components of the methodology, established in a multi-criteria optimization problem. It introduces the elements of the actors, the decision-making activity under criteria, calculations, specifications and objective criterion.

Table of Contents

Frontmatter

Chapter 1. The Multi-Criteria Approach Decision

Abstract
Multi-criteria decision making or multi-criteria decision analysis is a sub-discipline of operations research that explicitly considers multiple criteria in decision-making environments. Whether in our daily life or in a professional setting, there are usually many conflicting criteria that need to be assessed in decision making. Generally, multi-criteria optimization has been considered a poorly regulated technique, based on knowledge of types of optimization problems and multi-criteria decision support tools.
Lotfi Azzabi, Dorra Azzabi, Abdessamad Kobi

Chapter 2. The Multi-Objective Optimization Problem with Fuzzy Goal Programming

Abstract
Current problems are multi-objective in nature and their solution requires the consideration of conflicting objectives. Usually they have a number of solutions potentially. Thorough knowledge of the problem is required to distinguish solutions, eliminate unwanted ones, and accept the solution (s) through a decision-making process.
Lotfi Azzabi, Dorra Azzabi, Abdessamad Kobi

Chapter 3. Fuzzy Modes and Effects Analysis by Using Fuzzy AHP

Abstract
FMEA is a systematic process for identifying potential design or process failure before they occur. The aim is to eliminate them or minimize the risk associated with them. The method is a procedure to analyze failure modes and classify them by severity. It is a systematic process for identifying potential failures before they occur with the intent to eliminate them or minimize the risk associated with them. A group of experts make this quantification gathering information from memory and experience of the plant personal (Ravi and Prabhu 2001). The most known way to implement this analysis is in an ordinary tabular form which is difficult to trace. FMEA, providing a framework for cause and effect analysis of potential product failures (Chin et al. 2008), has a purpose of prioritizing the risk priority number (RPN) of the product design or planning process to assign the limited resources to the most serious risk item.
Lotfi Azzabi, Dorra Azzabi, Abdessamad Kobi

Chapter 4. Multi-Criteria Approach to Classification Systems of Control Aircraft Flight: Application PROMETHEE Method

Abstract
Multi-criteria decision support (MCDA) has been one of the areas with very strong growth in operational research over the past two decades. The MCDA is often involved in ranking many concrete alternatives, from best to worst, based on several conflicting criteria.
The development of MCDA methods has been driven not only by a variety of real-life issues requiring consideration of several criteria but also by the desire of practitioners to come up with improved decision-making techniques using recent advances in mathematical optimization, scientific computing, and computer technology. Among the MCDA methods, we will apply the PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluations) in the classification of aircraft flight.
Lotfi Azzabi, Dorra Azzabi, Abdessamad Kobi

Chapter 5. The Multi-Criteria Approach Assessment Human Risks: Application the Analytical Hierarchy Process and PROMETHEE Methods

Abstract
Current security systems are more and more complex, as they integrate a variety of technologies, these systems often require a long period of development. When we change the requirements, the goals are to improve the functionality, cost, or delay of the systems; but unfortunately, this change may be affected by an issue with other system security requirements.
This chapter helps to improve safety with the evaluation of human risk by applying a multi-criteria approach to help decision-making by analytical hierarchy process methods and the PROMETHE method.
Lotfi Azzabi, Dorra Azzabi, Abdessamad Kobi
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