A new method based on the multi-segment decision matrix for solving decision-making problems

Decision-making analysis methods are employed to nd the best option amongfeasible alternatives where an amount of alternatives versus criteria is introduced as onlyone value level with stationary numerical value. in real-world decision situations, thecondition of multi-segment problems may exist in practice. in this paper, a new method isproposed to rank the alternatives in multiple criteria decision-making (mcdm) problems,where the amount of alternatives to the criteria can be represented by several segments.hence, a multi-segment decision matrix can be obtained. moreover, the proposed method,based on simple additive weight (saw), can be employed to solve the decision problems,where the amount of alternatives versus the assessment criteria at each level is introducedas a function of some parameters. these functions can be regarded as linear, exponential,and trigonometric. finally, three real case studies are given to demonstrate the solutionprocedure of the proposed method, and then a sensitivity analysis for each case is reported.