Let the utility of alternative i be V i (rewardi, probabilityi, timedelayi).
Alternative i is one of the alternatives in the mth nest layer, and thus, ( P_{j}^{i} ) is the probability that decision-maker chooses alternative i: P_{j}^{i} = P_{m}^{j} cdot P_{j} left( {left.
where (tilde{a}_{ij}) is a TFN that indicates the performance of the alternative i with respect to criterion j.
Alternative (i) is performed via an approximation that takes the generalized plant poles out of the imaginary axis (namely, the pole at origin).
Formally, individual q's utility of alternative i can be expresses as: U i q = V i q + ε i q (1).
According to this model, the farmer has chosen alternative i, which leads to an improvement of the farm business's competitive position via the quality certification.
end{aligned} The alternative (i) or (ii) implies that (mathscr {J}) must be finite because the measures (nu^{(1)}) and (nu^{(2)}) are bounded.
In the traditional multi attribute decision process, a point number, a ij, will be used to present the value of the alternative i evaluated under the attribute j.
Proximity to the ideal solution Ci* was calculated as follows: {text{Ci}}, =, S_{i} ', /, left( {S_{i} , + S_{i} '} right),, 0, < {text{ Ci}}, <, 1, (6 where Si* is the separation from the ideal solution of alternative i and Si′ is the separation from the negative ideal solution of alternative i.
(A=left{ {a_1,ldots,a_i,ldots,a_I } right} ): set of alternatives, where (a_i ) denotes the i-th alternative, (i=1,2,ldots,I).
Each group - goths, alternative - I had friends in every group".
