A Novel Subjective and Objective Integrated Multiple Attribute Decision Making Method

Part of the Springer Series in Advanced Manufacturing book series (SSAM)


Multiple attribute decision making (MADM) is employed to solve problems involving selection from among a finite number of alternatives. Each decision table in MADM methods has four main parts, namely: (a) alternatives, (b) attributes, (c) weight or relative importance of each attribute and (d) measures of performance of alternatives with respect to the attributes. A decision table have, alternatives, A i (for i = 1, 2,….., N), attributes, B j (for j = 1, 2,….., M), weights of attributes, w j (for j = 1, 2,….., M) and the measures of performance of alternatives, m ij (for i = 1, 2,….., N; j = 1, 2,….., M). Given the decision table information and a decision making method, the task of the decision maker is to find the best alternative and/or to rank the entire set of alternatives. It may be added here that all the elements in the decision table must be normalized to the same units so that all possible attributes in the decision problem can be considered.


Data Envelopment Analysis Analytic Hierarchy Process Data Envelopment Analysis Model Flexible Manufacturing System Decision Table 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Mechanical Engineering DepartmentS.V. National Institute of TechnologySuratIndia

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