European Journal of Operational ResearchLipovetsky S,Conklin M.Robust estimation of priorities in the AHP.. 2002Lipovetsky S,Conklin M.Robust estimation of priorities in the AHP.European Journal of Operational
The estimation of the fuzzy weight (pj) is derived through the utilization of Eq. 22.(22)pj=1j=1kj-1kjj>1Step 7: In this stage of the process, the determination of the relative weights assigned to the criteria for evaluation is carried out using Equation 23. Here, the weight assigned...
To select the best suppliers, Kilic [27] also developed an integrated approach in which the importance value of the suppliers is calculated using the fuzzy TOPSIS technique, and then these priorities are used in a mathematical model. In critical condition, due to the dynamic environment of a ...
Liberatore [5] developed the AHP modeling framework for R&D project selection, and the AHP was used to allocate resources and determine priorities for R&D projects. Other approaches to R&D project selection include fuzzy numbers and the technique of order preference similarity to the ideal solution ...
The Pareto front of multi-objective optimisation represents the trade-offs among the optimisation objectives; therefore, ranking methods are employed to prioritize the solutions by weighting each objective based on the decision-maker’s preferences or priorities. The sensitivity of solution rankings to ob...