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But Mr. Soler suggested that the cause lay not so much in overt discrimination as in "the stereotypes that the decision makers at each point of the system rely on".
In Mohamed (1997), fuzzy goal programming technique is introduced to overcome the possibility of rejecting the solution again and again by decision makers at each level.
Likewise, each protocol engages key decision makers at each study site, and where possible builds-in obtaining their approval at critical junctures of the project before proceeding.
This is because, in most of the cases, the objective functions of the decision makers at each level may conflict each other and the decision makers at all levels may not necessarily be cooperative to the leader.
The proposed modified algorithm as well as MATLAB program simplifies the earlier algorithm on ML-LFPP by eliminating solution preferences by the decision makers at each level, thereby avoiding difficulties associate with multi-level programming problems and decision deadlock situation.
In proposed modified FGP approach, solution preferences by the decision makers at each level are not considered and fuzzy goal for the decision vectors is defined using individual best solutions.
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It is clear that both the approaches are close to one another but the modified methodology is efficient and requires less computations than earlier technique in terms of considering the solution preferences by the decision maker at each level.
A Markov decision process (MDP) is a framework for representing sequential decision making problems that facilitates a decision maker, at each decision stage, to choose from several possible next states [26].
Mathematically, a tri-level programming problem with only one decision maker at each level can be formulated as (Woldemariam and Kassa 2015) begin{aligned} &min _{x^1 in X^{1}} F_1(x^1,x^2,x^3) &text{s.t.
In this paper, we proposed modified FGP approach for multi-level linear fractional programming problem (ML-LFPP) in which solution preferences by decision maker at each level and sequential order of decision-making process in finding satisfactory solutions are not taken into account of proposed technique.
Baky (2010) suggested two new techniques with FGP approach based on solution preferences by the decision maker at each level to solve new type of multi-level multi-objective linear programming (ML-MOLP) problems through the fuzzy goal programming (FGP) approach.
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