Decision Making on Job Selection Under Risk by Using Type-2 Fuzzy Logic

One of the very important decisions that a fact in person’s life is job selection. Job selection can be defined as choice for the optimal type of subject who can practice his profession among the enterprises that exist in a society. In this paper, job selection problem is offered as type-2 fuzzy method under risk multi attribute decision-making problem with interval type-2 fuzzy numbers, where the attribute indicate a heterogeneous relationship. Choosing the right job becomes an actual problem for multi-criteria decisions if decision makers indicate their priorities depending on the nature of the alternatives and various attributes regarding their information about them. A step-by-step procedure is used for ranking and estimate alternatives in the proposed methodology, and the best solution is choose considering both favorable and unfavorable attributes.