Posac, Data Based Weights, and Mutual Probability Methods for Multicriterion Prioritization: a Study in the Theory and Application of Ranking Methods
نویسنده
چکیده
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the agencies. ABSTRACT iv TABLE OF CONTENTS
منابع مشابه
Multicriterion Prioritization with Differential Weights, Stepwise Aggregation, Hasse Diagrams, and Poset Cumulative Rank Frequency Operators
There has been considerable work on determining a suitable method to accomplish a satisfactory ordering of a group of objects, when there are multiple evaluation criteria. A weighted index can be used to combine the opinion of all stakeholders to obtain a criterion for ranking the objects. We also use elements of Poset (Partial order set) theory to determine the rankings of the objects. The Pos...
متن کاملAn Elaboration of the Dynamic Growth Pattern of Iran’s Share in Regional Natural Gas Trade through Factor Prioritization, Using Network Analysis
This study presents a strategic viewpoint of the dynamic growth pattern of Iran’s share in regional natural gas trade, through factor prioritization, using network analysis. The study is an exploratory one, which falls under the cross-sectional category based on its research method and time frame for gathering pertinent data. This study has been conducted over the period 2019 to 2020. The main ...
متن کاملRanking Efficient Decision Making Units Using Cooperative Game Theory Based on SBM Input-Oriented Model and Nucleolus Value
In evaluating the efficiency of decision making units (DMUs) by Data Envelopment Analysis (DEA) models, may be more than one DMU has an efficiency score equal to one. Since ranking of efficient DMUs is essential for decision makers, therefore, methods and models for this purpose are presented. One of ranking methods of efficient DMUs is cooperative game theory. In this study, Lee and Lozano mod...
متن کاملA Proposed Combination Method for Ranking Options in Multi-Criteria Decision Making by Data Envelopment Analysis and Common Set of Weights
The purpose of this paper is to fully ranking decision-making units using a combination of multi-criteria decision-making techniques and data envelopment analysis. Due to this fact that weights play an important role in ranking the options by multi-criteria decision-making methods and most of these methods have weakness in using weighting methods, therefore the ability for data envelopment anal...
متن کاملChoosing weights for a complete ranking of DMUs in DEA and cross-evaluation
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. One of the interesting research subjects is to discriminate between efficient DMUs. The aim of this paper is ranking all efficient (extreme and non-ex...
متن کامل