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Multiple-criteria decision making (MCDM) is a process of making choices that are subject to various conflicting criteria. It is also called multi-criteria decision analysis (MCDA). MCDM is an important subfield of operations research. Mostly, decision-making processes are complex and are subject to various internal and external factors. MCDM can be applied to many complex decisions. It is characterized as being logical, consistent, and easy to use. The MCDM problems may be categorized into two types, namely, compensatory decision making and outranking decision making. Analytic hierarchy process (AHP) and fuzzy multi-criteria decision making process (FDM) are compensatory decision making techniques; whereas elimination and choice expressing reality (ELECTRE), and preference ranking organization method for enrichment of evaluations (PROMETHUS) are outranking decision making techniques. MCDM has applications in various areas such as material selection; energy, environment and sustainability management; supply chain, quality and production management; and construction, project, safety and risk management field. This book unravels the recent studies on multiple-criteria decision making. It explores all the important techniques, analysis and applications of multiple-criteria decision making. The book will provide comprehensive knowledge to the readers.
Multi-criteria decision making (MCDM) is a sub-field of operations research used for evaluating multiple conflicting criteria in making a decision. It can be used as a tool for making various complex decisions. This method is best suited to solve problems which are designated as a choice among alternatives. MCDM can be classified into two categories, namely, multiple-criteria evaluation problems and multiple-criteria design problems. Multiple-criteria evaluation problems consist of a definite number of options clearly mentioned at the start of the solution process. In multiple-criteria design problems, the alternatives are unknown but can be found by solving a mathematical model. There are five components of MCDM problems which include goals, decision makers with preferences, decision alternatives, evaluation criteria, and consequences associated with alternative combination. This book is compiled in such a manner, that it will provide in-depth knowledge about the theory and practice of multi-criteria decision making. It presents researches and studies performed by experts across the globe. The book will serve as a valuable source of reference for graduate and postgraduate students.
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