In this work we recall and discuss optimality criteria for decision making under uncertainty with respect to different assumptions concerning the structure of the information available. First, an overview of the basic concepts of classical decision theory is given. Here, particular emphasis is placed on explaining classical decision criteria (i.e. criteria for the case that the uncertainty can ...

rangeland plans as an management option is subject that by giving range to beneficiaries beneficiaries will be identified in the plans whit specific programs. the purpose of this study is to identify factors affecting the performance of rangelands schemes and consequently to rank the projects in razavi khorasan by identified factors. six original schemes in razavi khorasan were selected for thi...

Results from five studies of real-life decision making are compared. In these studies, participants consistently constrained the amount of information they considered to relatively few options and to a somewhat larger set of criteria. Over time, the number of options considered shrank, but the number of criteria used did not. People's intuitive "calibration" with the predictions of normative li...

implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. this research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. to take into account the uncertainties inherent in evaluation process, fuzzy logic i...

Spatial decision support is one of the central functions ascribed to Geographical Information Systems (GIS). One of the foci of developing decision support capabilities of GIS has been the integration of maps with multiple criteria decision models. Progress in this area has been slow due to a limited role played by maps as decision support tools. In this paper we present new prototype spatial d...

different industrial decision makers and managers in our country, try to select and organize locations for aggregating industrial units, estates and areas with respect to land use planning visions and industrial development strategies. in this regard, considering large quantity of the input data and diverse criteria affecting this application, it is complicated and difficult to optimally make d...

Abstract. The most popular models of decision making use a single criterion to evaluate projects or lotteries. However, decision makers may actually consider multiple criteria when evaluating projects. We consider a dual criteria model from psychology. This model integrates the familiar tradeoffs between risk and utility that economists traditionally assume, allowance for rank-dependent decisio...

making decision has become one of the most challenging responsibilities of managers in recent decades. finding the optimum solution for multiple criteria decision making problems is complicated. notably, multiplicity of decision making indices accompanied by variability in quantitative and qualitative measures aggregates the complexity of decisions. operations research (or) and multiple criteri...

abstract— in this paper, a new extended method of multi criteria decision making based on fuzzy-topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...