one of the most important steps involved in mining operations is to select an appropriate extraction method for mine resources. after choosing the extraction method, it is usually impossible to replace it with another one because it may be so expensive that implementation of the entire project could be economically impossible. choosing a mining method depends on the geological and geometrical c...

this paper introduces a new method for incorporating the performance of alternatives into their ultimate ranking in a linear assignment method. this method is one of multi-criteria decision-making methods, in which the weight of criteria is incorporated in ranking the alternatives, and the distance between the performances of alternatives do not affect in ranking the alternatives. in order to m...

Outsourcing is a good strategy for firms that need to reduce operating costs and improve competitiveness, but it remains important for firms to scientifically select the appropriate outsourcing providers. Some efforts have been made regarding outsourcing problems, but these efforts incorrectly assumed that the criteria in the decision process are independent, which is not true in the real world...

Data envelopment analysis (DEA) has been widely applied in evaluating multicriteria decision making problems, which have multi-input and multi-output. However, the traditional DEA method does neither take the decision maker’s subjective preferences to the individual criteria into consideration nor rank the selected options or decision making units (DMUs). On the other hand, Satty’s analytical h...

This study presents the development of a multi-criteria control methodology for flexible manufacturing systems (FMSs). The control methodology is based on a two-tier decision making mechanism. The first tier is designed to select a dominant decision criterion using a rule-based algorithm. In the second tier, using a look-a-head multi-pass simulation, a scheduling rule that best advances the sel...

Multi-criterion quantum programming is a new paradigm of decision making for complex systems. Quantum-based multiobjective algorithm utilizes a new representation, called a Q-bit, for the probabilistic representation that is based on the concept of qubits. Evolutionary computing with Q-bit representation has a better characteristic of population diversity than other representations, since it ca...

Decision matrix in group decision making problems depends on a lot of criteria. It is essential to know the necessity ofweight or coefficient of each criterion. Accurate and precise selection of weight will help to achieve the intended goal.The aim of this article is to introduce a linear programming model for recognizing the importance of each criterion inmulti criteria group decision making w...

This study uses three types of pairwise comparisons algorithm which are horizontal vertical and oblique to construct Multi-Criteria Decision Making with Incomplete Linguistic Preference Relations Model. The use of pairwise comparisons will not produce the problem of inconsistency, which even allows every decision expert to choose an explicit criterion or alternative for index unrestrictedly. Wh...