List of Articles Rough Set Theory

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  1 - Comparison of ranking methods in Data envelopment analysis using Rough set theory
  Leila Karamali
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  2 - Evaluating the Competitive of Green Product Development Consequences in the Existence of Technology-Based Capabilities of Knowledge-Based Companies: Extended Rough Set Theory (ERST)
  Hamideh Ajazm Ekrami Mohammadreza Abdoli Hasan Valiyan
  10.30495/jest.2022.65595.5614
  Background and Objective: The Purpose of this research is evaluating the Competitive of Green Product Development Consequences in the Existence of Technology-Based Capabilities of Knowledge-Based Companies: Extended Rough Set Theory (ERST). Material and Methodology: Th More

  Background and Objective: The Purpose of this research is evaluating the Competitive of Green Product Development Consequences in the Existence of Technology-Based Capabilities of Knowledge-Based Companies: Extended Rough Set Theory (ERST). Material and Methodology: The methodology of this research is hybrid and to perform it, hyper-combined analyzes have been used to identify the components and propositions of the research in the qualitative part and the rough set has been used to determine the most effective components and propositions in the quantitative part. The target population was qualitative, similar research and academic experts in management. However, the target population was a quantitative part number of 22 executives of knowledge-based companies in food products, which is acceptable from the statistical population due to the requirement of Rough Set Theory. Findings: The results of the study indicated the identification of 4 components of competitive implications for green product development and 5 themes of technology-centric capabilities in the quality sector. Also, the results in the quantitative part showed that the effective management information system is considered as the most effective technology capability of knowledge-based companies as a positive stimulus in the consequences of green product development. Discussion and Conclusion: The result shows that management information systems as one of the most important achievements of technology as the capabilities of knowledge-based companies can, in a systematic cycle to determine information from outside the company and perform processes on it to make effective decisions and staff. It is the increase of environmental productivity as a favorable consequence of green product development in these companies. Manuscript profile
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  3 - Reduction of DEA-Performance Factors Using Rough Set Theory: An Application of Companies in the Iranian Stock Exchange
  Mahnaz Mirbolouki Maryam Joulaei
  10.22034/amfa.2019.1868389.1223
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  4 - An Integrated Approach for Evaluation Applications of Building Information Modeling Based on Rough Number
  Alireza Aminrad Mohammad Miehosseini Mohammad Ehsanifar Ehsanullah Zeighami
  10.30495/jsm.2022.1967274.1686
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  5 - Developing a Risk Management Model for Banking Software Development Projects Based on Fuzzy Inference System
  tooraj karimi mohammadreza Fathi yalda yahyazade
  10.22094/joie.2020.1883892.1700
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  6 - Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
  Mohammad Hossein Fazel Zarandi Abolfazl Kazemi
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  7 - Applying Concept of Rough Set Theory with Multi-Criteria Decision-Making Methods to Evaluate and Select the Most Appropriate Maintenance Strategy
  Mohammad Sabet Motlagh
    The main purpose of this study is to evaluate different maintenance strategies for machinery and equipment. We attempt to select the most appropriate maintenance strategy for increasing availability and reliability levels of production facilities without a great More

    The main purpose of this study is to evaluate different maintenance strategies for machinery and equipment. We attempt to select the most appropriate maintenance strategy for increasing availability and reliability levels of production facilities without a great increasing of investment. Since the nature of maintenance strategy selection is a multi-criteria problem, so decision makers to evaluation of criteria and alternatives using of uncertain preferences. Therefore, in this study we will use the concept of Rough set theory that are efficient in such circumstances. In fact, in this study first we will use confirmatory factor analysis to evaluating of research criteria and factors and then we will use the concept of Rough theory to convert preferences of decision makers to interval numbers and Multi-criteria decision-making methods (Rough AHP & Rough Topsis) for evaluating and ranking the maintenance strategies. It is noteworthy that in this paper, TOPSIS method with Rough data has been developed. finally, in order to demonstrate the applicability of the proposed method, we have used it in a case. The results show that using such model can help decision makers to make better decisions in the absence of full information. Manuscript profile