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- Weighted_sum_model abstract "In decision theory, the weighted sum model (WSM)is the best known and simplest multi-criteria decision analysis (MCDA) / multi-criteria decision making method for evaluating a number of alternatives in terms of a number of decision criteria. It is very important to state here that it is applicable only when all the data are expressed in exactly the same unit. If this is not the case, then the final result is equivalent to "adding apples and oranges."In general, suppose that a given MCDA problem is defined on m alternatives and n decision criteria. Furthermore, let us assume that all the criteria are benefit criteria, that is, the higher the values are, the better it is. Next suppose that wj denotes the relative weight of importance of the criterion Cj and aij is the performance value of alternative Ai when it is evaluated in terms of criterion Cj. Then, the total (i.e., when all the criteria are considered simultaneously) importance of alternative Ai, denoted as AiWSM-score, is defined as follows:For the maximization case, the best alternative is the one that yields the maximum total performance value.".
- Weighted_sum_model wikiPageID "27914444".
- Weighted_sum_model wikiPageRevisionID "575260725".
- Weighted_sum_model hasPhotoCollection Weighted_sum_model.
- Weighted_sum_model subject Category:Decision_theory.
- Weighted_sum_model comment "In decision theory, the weighted sum model (WSM)is the best known and simplest multi-criteria decision analysis (MCDA) / multi-criteria decision making method for evaluating a number of alternatives in terms of a number of decision criteria. It is very important to state here that it is applicable only when all the data are expressed in exactly the same unit.".
- Weighted_sum_model label "Weighted sum model".
- Weighted_sum_model sameAs m.0ch52qy.
- Weighted_sum_model sameAs Q7979909.
- Weighted_sum_model sameAs Q7979909.
- Weighted_sum_model wasDerivedFrom Weighted_sum_model?oldid=575260725.
- Weighted_sum_model isPrimaryTopicOf Weighted_sum_model.