Data envelopment analysis (DEA) is a methodology for measuring the relative efficiency of decision making units (DMUs) which ‎consume the same types of inputs and producing the same types of outputs. Believing that future planning and predicting the ‎efficiency are very important for DMUs, this paper first presents a new dynamic random fuzzy DEA model (DRF-DEA) with ‎common weights (using...

the expansion of major cities regardless of the scientific planning principles has led to theemergence of negative urban development impacts in iran such as the degradation of natural resources andvarious forms of pollution. undoubtedly, urban rivers can enhance the ecological value of the earth to anoptimal extent. however, to benefit from these potentials, appropriate planning looks inevitabl...

Complex multi-stage decision making problems often involve uncertainty, for example, regarding demand or processing times. Stochastic constraint programming was proposed as a way to formulate and solve such decision problems, involving arbitrary constraints over both decision and random variables. What stochastic constraint programming currently lacks is support for the use of factorized probab...

In the process of investment decision making, next to financial indicators many other aspects of investment projects are increasingly often considered. This leads to the multi-criteria evaluation of a project. The advantage of multi-criteria methods is the ability to take into account all (not only financial) aspects of the attractiveness of an investment project. The selection of criteria of p...

the conceptualization of total economic value (tev) associated with protected natural areasnecessarily requires an analytical reordering that ensures a simultaneous incorporation of natural, social andeconomic components. based on this purpose, the present paper uses a multi-criteria decision modeling forthe economic valuation of environmental goods and services (egs) in the viñales national pa...

In fields on which decisions need to be taken including health, as we are seeing nowadays in the COVID-19 crisis, decision-makers face multiple criteria and results with a random component. stochastic multicriteria decision-making models, risk attitude of decision maker is relevant factor. Traditionally, shape utility function only element that represents maker’s attitude. The eduction process ...

A sustainability enhancement is generally measurable by its environmental, economic, and socio-cultural effects. To apply this concept, this study developed and empirically tested a risk-based method for evaluating renewable energy policy. The proposed graphical matrix approach coupled with Monte Carlo simulation identifies and measures critical performance indicators at an acceptance level of ...

The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounti...