In this paper, we develop a fuzzy tri-level decision making (FTLDM) model to deal with decentralized decision making problems with three levels of decision makers. Based on the λ-cut of fuzzy set, we transform an FTLDM problem into a multiobjective tri-level decision making problem. Based on the linear tri-level Kth-best algorithm, the global optimal solution can be obtained. A case study for t...

this is a cross sectional study with aim of assessment and comparison between parents and female adolescents ' attitudes about the role of peers in decision making of adolescent in tehran. in this study 160 mother, 160 father and 160 female adolescents participated. with random selection 160 female adolescent with 14-19 years old from north, south , east and west of tehran were selected an...

introduction: customer satisfaction has been suggested as one of the interesting and challenging issues of management in the new millennium. in addition, oral and dental health and the quality of the services the health centers delivered to the patients directly affect the customer satisfaction. therefore, the present study aimed to identify, investigate, and rank the factors affecting the cust...

results all the frames that were examined leaded to significant framing effects: when the asia disease problem was described in a positive frame, the participants preferred the conservative frame than the risky one, while if in a negative frame, the preference reversed (p < 0.01). if the drug effect was described as “of 100 patients taking this kind of medicine, 70 patients became better”, peop...

Selecting approaches with appropriate accuracy and suitable speed for the purpose of making decision is one of the managers’ challenges. Also investing decision is one of the main decisions of managers and it can be referred to securities transaction in financial markets which is one of the investments approaches. When some assets and barriers of real world have been considered, optimization of...

evolutionary algorithms are some of the most crucial random approaches tosolve the problems, but sometimes generate low quality solutions. on the otherhand, learning automata are adaptive decision-making devices, operating onunknown random environments, so it seems that if evolutionary and learningautomaton based algorithms are operated simultaneously, the quality of results willincrease sharpl...

In this paper, we introduce an algorithm for decision making and object recognition problems involving vague soft sets and demonstrate the application of this algorithm in a decision making problem set in an imprecise environment. Mathematics Subject Classifications: 68T10, 68T20

Vendor selection decisions are complicated by the fact that various conflicting multi-objective factors must be considered in the decision making process. The problem of vendor selection becomes still more compli-cated with the inclusion of incremental discount pricing schedule. Such hard combinatorial problems when solved using meta heuristics produce near optimal solutions. This paper propose...