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Cue the fuzzy criteria.
Fuzzy criteria maps corresponding to each of these criteria were produced in Geospatial Information Systems GISS) environment.
The unweighted and weighted multi-attribute axiomatic design (AD) approaches developed in this paper include both crisp and fuzzy criteria.
The desired process behavior is defined by a set of fuzzy criteria induced either by a reference model or by general technical requirements.
Find the set of fuzzy criteria in C, defined as: begin{aligned} B_{a_{i}}^{epsilon }=left{ c_{k} in C | mu _{c_{k}}(a_{i}) ge mu _{v}(a_{i} -epsilon right} end{a_{i} -epsilonB_{a_{i}}^{epsilon }) is the set of fuzzy attrightes in C such that the degrees of (a_{i}) bend{aligned them are larger than or equal to (mu _{v}(a_{i})-epsilon ).
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In Section 2, we consider an urban system that understands the timing of expansions of system capacity, a dynamic fuzzy criterion model for reservoir operations and assigning priorities to welfare policies.
Those standard errors could very possibly allow the development of better fuzzy matching criteria that would improve accuracy and perhaps efficiency as well.
In this study, by using fuzzy multi-criteria decision making methods, the criteria of green schools have been gauged across 6 criteria and 15 sub-criteria, using a consistent testing methodology.
In [8], the method includes the fuzzy multi criteria evaluation and the grey relational analysis.
Finally, the results are evaluated based on multiplying the non-fuzzy weight of each aspect and the values are assigned to each fuzzy output criteria.
Incorporated the decision makers' attitude towards preference, a crisp overall performance value is obtained for each alternative based on the concept of Fuzzy Multiple Criteria Decision Making (FMCDM).
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