in this paper imprecise target models has been proposed to investigate the relation between imprecise data envelopment analysis (idea) and mini-max reference point formulations. through these models, the decision makers' preferences are involved in interactive trade-off analysis procedures in multiple objective linear programming with imprecise data. in addition, the gradient projection type me...

the purpose of this research is to investigate thermoeconomic optimization and exergy analysis of transcritical co2 refrigeration cycle with an ejector. after modeling thermodynamic equations of elements and considering optimization parameters of emerging temperature of gas of cooler (tgc) , emerging pressure of cooler's gas (pgc) , and evaporative temperature (tevp) , optimization of targ...

technical efficiency of different sectors is important for economic policy making purposes. this study considering regions as independent decision-making units, measures technical efficiency of industrial sector for every region of the country and then examines its determinant factors.generally influential factors of efficiency are classified in two main groups. first group includes the basic e...

data envelopment analysis (dea) is a method to evaluate the relative efficiency of decision making units (dmus). in this method, the issue has always been to determine a set of weights for each dmu which often caused many problems. since the dea models also have the multi-objective linear programming (molp) problems nature, a rational relationship can be established between molp and dea problem...

The paper presents a family of new expansions of Boolean functions called Function-driven Linearly Independent (fLI) expansions. On the basis of this expansion a new kind of a canonical representation of Boolean functions is constructed: Function-driven Linearly Independent Binary Decision Diagrams (fLIBDDs). They generalize both Function-driven Shannon Binary Decision Diagrams (fShBDDs) and Li...

We propose a new way for describing data tables that is inspired by decision trees. Our goal is to summarize entire data table with one “average” object called best decision. The best decision is defined here as a decision that achieves the greatest value of a weight function. In our paper we first review computationally simple weight function for defining the best decision which does not accou...

in the response phase the most important step is to assess disaster after occurrence. by disaster assessment, we can obtain all the needed information for controlling, decision-making and also disaster planning. lack of disaster assessment causes you to make unsuitable decisions ba sed on limited or inadequate data which leads to imperfect disaster response. according to ifrc, disaster response...