This study consists of three types of vendor selection models in supply chains and presents a decision making scheme for choosing appropriate method for supplier selection under certainty, uncertainty and probabilistic conditions. These models are, Data Envelopment Analysis (DEA), Fuzzy Data Envelopment Analysis (FDEA), and Chance Constraint Data Envelopment Analysis (CCDEA). In FDEA model we u...

Data envelopment analysis (DEA) is a method to evaluate the efficiency of some decision making units which by using one or more inputs will make one or more outputs. In real world, most of the problems don’t have a certain mode. Fuzzy theory is one of the ways of considering uncertainty in the mathematical programming problems. In this study by using this idea, the DEA model on a fully fuzzy mo...

F. Hosseinzadeh Lot a, A. A. Noora b, H. Nikoomaram c, M. Alimardani d , M. Modi e (a) Dept. of Math. Science and Research Branch, Islamic Azad University, Tehran,Iran. (b) Dept. of Math. Sistan and Balochestan University, Iran, (c) Dept. of Management. Science and Research Branch,Islamic Azad University, Tehran,Iran. (d) Dept. of Math. Tehran -North Branch,Islamic Azad University, Tehran,Iran,...

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 paper, by introducing two virtual decision-making units (DMUs) called ideal DMU (IDMU) and anti-ideal DMU (ADMU) with fuzzy inputs-outputs, the efficiency evaluation of DMUs are done by fuzzy data envelopment analysis (FDEA). Therefore, we evaluate DMUs from the perspective of the best and worst possible relative efficiency. For each DMU two efficiencies are calculated while inputs and ...

In this paper, we describe an interactive web application (deaR-shiny) to measure efficiency and productivity using data envelopment analysis (DEA). deaR-shiny aims fill the gap that currently exists in availability of online DEA software offering practitioners researchers free access a very wide variety models (both conventional fuzzy models). We illustrate how use app by replicating main resu...

Increasingly, cities worldwide are striving for green travel and slow traffic, vigorously developing people-oriented urban pedestrian traffic with sustainability has become a fixture in recent discourse. This paper comprehensively considers the sidewalk’s facilities environment status of flow; divides road system (UPRS) into five subsystems around underpass, overpass, crosswalk, sidewalk, cross...

Abstract This paper studies the efficiency assessment of Decision Making Units (DMUs) when their inputs and outputs are fuzzy sets. An axiomatic derivation production possibility set is presented a enhanced Russell graph measure formulated using arithmetic approach. The proposed approach uses polygonal sets LU-fuzzy partial orders, provides crisp measures (and associated ranking) as well effici...

in this paper, we show that inverse data envelopment analysis (dea) models can be used to estimate output with fuzzy data for a decision making unit (dmu) when some or all inputs are increased and deficiency level of the unit remains unchanged.

Purpose: Airport management is influenced by several related critical decisions on financial and technical operations. Optimum utilization of resources, including assets personnel, to achieve better service quality for the passengers an efficient airport. Due its importance, this paper aims assess performance airports based security, safety, possible work-related health problems considering unc...