Sentence examples for criteria of preference from inspiring English sources

No doubt this could be sorted out, and precisely by recognizing (as Hare doubtless could have, though the language is not his) that the criteria of preference are multiple.

We consider the multi-criteria group decision making problems where all the criteria values are expressed in GITFNs, and interaction phenomena among the decision making criteria or preference of decision makers are taken into account.

Now we utilized the proposed method where inter-dependent or interactive characteristics among criteria and preference of decision makers are taken into account to get the most desirable alternative.

The first technique is based on the construction of membership functions of subsets of nondominated alternatives with simultaneous considering of all criteria (fuzzy preference relations).

To handle the hierarchy of criteria in MCDA, we propose a methodology called Multiple Criteria Hierarchy Process (MCHP) which permits consideration of preference relations with respect to a subset of criteria at any level of the hierarchy.

Fuzzy analytical hierarchy process (FAHP) was utilized to analyse the complex structure of the system to obtain the weights of all the criteria while fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was employed to facilitate the ranking process of the resilience strategies.

Class functions allowed the DMs to express the ranges of differing levels of preference for each criterion.

Class functions allowed the Decision makers (DMs) to express the ranges of differing levels of preference for each criterion.

When the function of preference has been associated with each criteria by the decision maker, all comparisons between all pairs of actions can be performed for all criteria.

Combining the generalized interval-valued trapezoidal fuzzy geometric aggregation operator with Choquet integral-based distance, an extension of TOPSIS is developed to deal with a multi-criteria generalized interval-valued trapezoidal fuzzy group decision making problem where inter-dependent or interactive characteristics among criteria and preferences of decision makers are considered.

Three techniques for processing of fuzzy preference relations reflecting criteria of quantitative as well as qualitative character are discussed.