Proceedings of the 2005 ACM symposium on Applied computing
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Using a multi-criteria decision making approach to evaluate mobile phone alternatives
Computer Standards & Interfaces
Selecting the best statistical distribution using multiple criteria
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Careful ranking of multiple solvers with timeouts and ties
SAT'11 Proceedings of the 14th international conference on Theory and application of satisfiability testing
A multi-criteria decision making procedure based on neural networks for kanban allocation
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
A hybrid MCDM methodology for ERP selection problem with interacting criteria
Decision Support Systems
ERP software selection with MCDM: application of TODIM method
International Journal of Business Information Systems
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Multicriterion Decision in Management: Principles and Practice is the first multicriterion analysis book devoted exclusively to discrete multicriterion decision making. Typically, multicriterion analysis is used in two distinct frameworks: Firstly, there is multiple criteria linear programming, which is an extension of the results of linear programming and its associated algorithms. Secondly, there is discrete multicriterion decision making, which is concerned with choices among a finite number of possible alternatives such as projects, investments, decisions, etc. This is the focus of this book. The book concentrates on the basic principles in the domain of discrete multicriterion analysis, and examines each of these principles in terms of their properties and their implications. In multicriterion decision analysis, any optimum in the strict sense of the term does not exist. Rather, multicriterion decision making utilizes tools, methods, and thinking to examine several solutions, each having their advantages and disadvantages, depending on one's point of view. Actually, various methods exist for reaching a good choice in a multicriterion setting and even a complete ranking of the alternatives. The book describes and compares these methods, so-called `aggregation methods', with their advantages and their shortcomings. Clearly, organizations are becoming more complex, and it is becoming harder and harder to disregard complexity of points of view, motivations, and objectives. The day of the single objective (profit, social environment, etc. ) is over and the wishes of all those involved in all their diversity must be taken into account. To do this, a basic knowledge of multicriterion decision analysis is necessary. The objective of this book is to supply that knowledge and enable it to be applied. The book is intended for use by practitioners (managers, consultants), researchers, and students in engineering and business.