in this paper, by investigating the common weights concept and dea models with nonlinear virtual inputs/outputs, we introduce a model for evaluating the decision making units with nonlinear virtual inputs and outputs based on the common weights.

This chapter presents a connectionist or artificial neural network approach to decision making. An essential idea of this approach is that decisions are based on the accumulation of the affective evaluations produced by each action until a threshold criterion is reached. This type of sequential sampling process forms the basis for decision making in a wide variety of other cognitive tasks such ...

In recent years, research on modeling in both the philosophy of science and the social studies of science and technology has undergone an acute transformation. Philosophers and social scientists have begun to realize that science, in the words of Carrier and Nordmann, has increasingly shifted its focus from “epistemic or truthoriented” research to “application-dominated” research. “Science is v...

Most decision making methods used to evaluate a system or demonstrate the weak and strength points are based on fuzzy sets and evaluate the criteria with words that are modeled with fuzzy sets. The ambiguity and vagueness of the words and different perceptions of a word are not considered in these methods. For this reason, the decision making methods that consider the perceptions of decision...

researchers in their reviewing of international market literature which practical experiences in iran indicate it demonstrate that to choose a foreign market there are two approaches: expansion and systematic approach. firms that use expansion approach, through the culturally and geographically similar markets starts working in international markets. however, in systematic approach, firms use a...

we analyze a sequential decision making process, in which at each stepthe decision is made in two stages. in the rst stage a partially optimalaction is chosen, which allows the decision maker to learn how to improveit under the new environment. we show how inertia (cost of changing)may lead the process to converge to a routine where no further changesare made. we illustrate our scheme with som...

Data envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units‎. Unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal structure of these units‎. ‎Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage‎, ‎producin...