Model Independent Parametric Decision Making

A new non oriented models for calculating the efficiency of decision-making units in the presence of flexible variables

In assessing the relative efficiency of decision-maker units by classical Data Envelopment Analysis (DEA) models, the status of the data is determined from the input or output points of views. In real issues, there are some data whose statuses are debatable. Some decision making units consider them as input to achieve higher efficiency while some other decision making units consider them ...

Providing a Model for Explaining the Galatia Effect on Auditor's Wise Decision Making

Entrance to the specialized audit profession requires to making decision and having distinct attributes and properties, which the capability of taking wise decision is one of them. The task of auditors as a specialized profession is opinion about financial statement that in turn to it requires to auditor’s neutrality in decisions. If auditors be independent from clients, in the best possible wa...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

A decision-based approach to econometric modelling∗

In many applications it is necessary to use a simple and therefore highly misspecified econometric model as the basis for decision-making. We propose an approach to developing a possibly misspecified econometric model that will be used as the beliefs of an expected utility maximiser. An objective function that measures the value of predictive distributions in decision-making is introduced and u...

Using MODEA and MODM with Different Risk Measures for Portfolio Optimization

The purpose of this study is to develop portfolio optimization and assets allocation using our proposed models. The study is based on a non-parametric efficiency analysis tool, namely Data Envelopment Analysis (DEA). Conventional DEA models assume non-negative data for inputs and outputs. However, many of these data take the negative value, therefore we propose the MeanSharp-βRisk (MShβR) model...

A Data Envelopment Analysis Model with Triangular Intuitionistic Fuzzy Numbers

DEA (Data Envelopment Analysis) is a technique for evaluating the relative effectiveness of decision-making units (DMU) with multiple inputs and outputs data based on non-parametric modeling using mathematical programming (including linear programming, multi-parameter programming, stochastic programming, etc.). The classical DEA methods are developed to handle the information in the form of cri...