Classification of MCMP Methods

In MCMP problems, there are often an infinite number of efficient solutions, and they are not comparable without the input from the DM. Hence, it is generally assumed that tire DM has a real-valued preference function defined on the values of the objectives, but it is not known explicitly. With this assumption, the primary objective of the MCMP solution methods is to find the best compromise solution, which is an efficient solution that maximizes the DM s preference function. 

Multiple Criteria Decision Making in Supply Chain Management 

In the last three decades, most MCDM research have been concerned with developing solution methods based on different assumptions and approaches to measure or derive the DM s preference fimction. Thus, the MCMP methods can be categorized by the basic assumptions made with respect to the DM s preference function as follows  

When complete information about the preference function is available from the DM 

Where partial information is obtainable progressively from the DM 

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