in this study, optimized adaptive neuro-fuzzy inference system (oanfis) was employed on a set of daily, weekly, 10-days and monthly data of inflow water into the alavian dam to predict the real-time inflow of the reservoir. sequential and exhaustive search algorithms were used to determine the numbers and time steps of the model inputs and also reducing the prediction’s errors. in sequential se...

Congestion is one of the main issues in data envelopment analyses which have particular importance. Recently researches about congestion, whether in economic articles or in Operations Research articles in had grown increasingly. Congestion is a wasteful stage of the production process where outputs are reduced due to excessive amount of inputs. In economics, congestion is very important because...

In this paper, we deal with fuzzy random variables for inputs andoutputs in Data Envelopment Analysis (DEA). These variables are considered as fuzzyrandom flat LR numbers with known distribution. The problem is to find a method forconverting the imprecise chance-constrained DEA model into a crisp one. This can bedone by first, defuzzification of imprecise probability by constructing a suitablem...

in this research, efficiency of iranian forest and rangeland decision making unit was assessed using non-parametric method. inputs and outputs determined by field research and with applying a delphi method the final input and output variables selected. forty five wood-producing units (forestry plans) in three northern iranian province were studied using data envelopment analysis. the efficiency...

In data envelopment analysis, the relative efficiency of a decision making unit (DMU) is defined as the ratio of the sum of its weighted outputs to the sum of its weighted inputs allowing the DMUs to freely allocate weights to their inputs/outputs. However, this measure may not reflect a the true efficiency of a DMU because some of its inputs/outputs may not contribute reasonably in computing t...

In this paper we investigate inputs/outputs estimate in the presence of undesirable factors. We discuss such questions: suppose some outputs (inputs) are undesirable and among a group of decision making units (DMUs) a DMU changes (increases and decreases simultaneously) some of its input (output) levels, how much outputs (inputs) could the unit change such that its efficiency index remains unch...

today, capacity, development, and real independence of countries largely are linked with the ability to produce and publication of science. purpose of this research is evaluation of the relative performance of research and development performance of iran in compared with the region's countries by combined approach of dea/topsis. to this end, research and development activities of fourteen ...

energy management is one of the main ways of the efficient use of energy resources. the prediction of crop yields based on energy inputs can help farmers and policymakers to estimate the level of production. required data for study were randomly collected from 70 broiler farms in north west of iran. the input energies were included human labour, machinery, fuel, feed and electricity and the out...

data envelopment analysis (dea) is a mathematical technique to evaluate the performance of firms with multiple inputs and outputs. in conventional dea models, the efficiency scores of decision making units (dmus) with non-negative inputs and outputs are evaluated in a special period of time. however, in the real world there are situations wherein performance of firms must be evaluated in multip...