data envelopment analysis (dea) is a technique for measuring the efficiency of decision making units. in all models of the dea, for each unit under assessment, the numerical efficiency is obtained which may be less than or equal to one. given the possible large number of functional units, we use various ranking methods for evaluating units. one of the rating methods is balance index and topsis....

This paper presents the use of multi-criteria decision-making (MCDM) for evaluation smart cities. During development method, importance approach in linear ordering cities was presented. The method using Technique Order Preference by Similarity to Ideal Solution (TOPSIS) proposed preparation ranking. verified application measurement energy performance authors conducted a literature review resear...

The objective of this paper is to propose a method for evaluating the eco-efficiency business organizations. In order adequately capture inherent properties eco-efficiency, we present decision support model that can evaluate an organization based on ranking derived efficiencies at operational, energy, and environmental dimensions taking these factors into account comprehensively. proposed was d...

This paper introduces two virtual decision making units (DMUs) called ideal DMU (IDMU) and anti-ideal DMU (ADMU) into the data envelopment analysis (DEA). The resultant DEA models are, respectively, referred to as the data envelopment analysis with ideal and anti-ideal decision making units. One evaluates DMUs from the viewpoint of the best possible relative efficiency, while the other evaluate...

We contribute to the literature on assessment of innovation systems by relating amount inputs available system and its performance through concept returns scale (increasing, constant or decreasing). study what extent size relates their performance, which is estimated frontier Data Envelopment Analysis-TOPSIS methods, overcome several limitations standard DEA approach. Using same data provided E...

Data envelopment analysis (DEA) is a technique for measuring the efficiency of decision making units. In all models of the DEA, for each unit under assessment, the numerical efficiency is obtained which may be less than or equal to one. Given the possible large number of functional units, we use various ranking methods for evaluating units. One of the rating methods is Balance index and Topsis....

Project selection and resource allocation are critical issues in project-based organizations. These organizations are required to plan, evaluate, and control their projects in accordance with the organizational mission and objectives. In this study, we propose a three-stage hybrid method for selecting an optimal combination of projects. We obtain the maximum fitness between the final selection ...

For any industry to improve and expand, the proper evaluation selection of suppliers is essential. In order establish whether a supplier appropriate for working with company, system selecting green required. A variety Decision-Making (DM) models have been created by researchers address problems associated evaluating choosing suppliers. Green Supplier Evaluation Selection (GSES) challenge, we di...