JAM 2.0.0.2 FREE DOWNLOAD

Figure 2 shows the impact of selection attribute preference on alternatives the meaning of the parameters in Figure 2 matches that in Figure 1. There are many articles contributing to weight determination: Use 10 and the original index matrix can be converted to a new index matrix based on target centre: All index target centre distances can be normalised using 12 with the results shown in Table 4. The study indicated that the target centre determined by desirable preferences could reduce the difference between index values for each alternative, which resulted in indicial clustering. Journal of Applied Mathematics. To receive news and publication updates for Journal of Applied Mathematics, enter your email address in the box below.

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In multiattribute decision making, the relative optimality of one parameter can be obtained using a grey target decision method by comparison with feasible alternatives without recourse to other standard modes. View at Google Scholar S.

Based on the theory of grey target decision making, however the method differed from the classical version the generalised grey target method. In jam 2.0.0.2 grey target decision jam 2.0.0.2, the decision maker DM may have certain preferences for some attributes. Figure 2 shows the impact of selection attribute preference on alternatives the meaning of the parameters in Figure 2 matches that in Figure 1.

View at Google Scholar D. Alternative changed its ranking from fourth to ninth when not considering preferences and considering jam 2.0.0.2 Use 10 and the original index matrix can be converted to a new index matrix based on target centre: This discussion was based on benefit-type indices; however, the same conclusions may be drawn from consideration of cost-type indices.

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Desirable preferences and selection preferences are two types of attribute preferences for the DM. The linear method is used to normalise these target centre distances using Journal of Applied Mathematics. View at Google Scholar. Only denoted the real target centre distances, but its value is less than and the reduced value is which is the difference between and.

Journal of Applied Mathematics

The attribute weights can be determined by: View at Google Scholar J. With respect to the jam 2.0.0.2 of the alternatives, most of them changed except for and. Abstract In multiattribute grey target decision making, the decision maker DM may have certain preferences for some attributes.

Using 11all index target centre distances can be calculated as listed in Table 3. The author declares that there is no conflict of interests regarding the publication of this paper. Let be the target centre determined by the alternative measurewhere satisfies Definition 4.

The Impacts of Variable Target Centre on Jam 2.0.0.2 Desirable preferences and selection preferences are two types of attribute preferences for the DM.

In grey target decision making, the optimal alternative is determined by the minimum jam 2.0.0.2 all integrated target centre distances. There are two types of preferences: The data are shown in Table 1the benefit-type attributes are toand the others are cost-type attributes.

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The final target centre was determined by substituting some preference values for the predetermined target centre index values. View at Google Scholar Jam 2.0.0.2. When some index values were superior to the target centre index, these indices were rewarded as excellent values; when some index values were inferior to the target centre index, these indices were punished with a larger difference therefrom.

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The grey target decision method for mixed attributes has also been studied [ 8 — 14 ]. Let and be the distances of and torespectively; then set without affecting the conclusions so that jam 2.0.0.2 attribute the distances of and to are andrespectively: Alternatives ranked either with, or without, consideration of preferences.

Subscribe to Table of Contents Alerts. Introduction In multiattribute decision making, the relative optimality of one parameter jam 2.0.0.2 be obtained using a grey target decision method by comparison with feasible alternatives without recourse to other standard modes. It can be seen from Figure 2 that was actually inferior to andso there was no meaning attributable to either or.

View at Google Scholar H. Jam 2.0.0.2, some other theories and methods were introduced to the grey target decision method [ 13 — 16 ] which enrich its potential. Suppose that, and are the distances of index values, and torespectively, and, and are the distances of index values, and torespectively, while is the difference between and.