• فهرس المقالات Three parameter interval grey numbers

      • حرية الوصول المقاله

        1 - Application of Three Parameter Interval Grey Numbers in Enterprise Resource Planning Selection
        Mohammad Kamfiroozi Alireza Aliahmadi Meisam Jafari Eskandari
        This paper applies a new multi attribute decision-making (MADM) model to help companies for enterprise resource planning (ERP) selection problem based on Balanced Score Card method. This paper uses three-parameter interval grey numbers which is derived from Grey theory أکثر
        This paper applies a new multi attribute decision-making (MADM) model to help companies for enterprise resource planning (ERP) selection problem based on Balanced Score Card method. This paper uses three-parameter interval grey numbers which is derived from Grey theory (was proposed by J. Deng). This numbers is used instead of linguistic variables. Beside, a new weighting method that outcomes from combination of SMARTER and Shannon Entropy methods and also a new ranking method (Grey ELECTRE method) that is generalization of ELECTRE I for three parameter interval grey numbers are used in this paper. Finally an industrial case study for ERP selection is discussed تفاصيل المقالة
      • حرية الوصول المقاله

        2 - Supplier Selection in Grey Environment: A Grey, AHP, Bulls-Eye and ELECTRE Approach
        Mohammad Hassan Kamfiroozi Ali Bonyadi Naeini
        In recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. Owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a ne أکثر
        In recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. Owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a need. The researchers intend to present a new model in this paper as a contributing factor in the grey environment in which the risk factor is evaluated high. The model decreases uncertainty in terms of two phases: A phase in parameter in terms of three -parameter interval grey numbers (the numbers are elicited from grey theory) instead of linguistic variables; in the other phase, we use a combination of AHP method and Bulls-eye method. A new method is used to rank suppliers that are due to generalization of ELECTRE I for three- parameter interval grey numbers named Grey-ELECTRE. Finally, a case study is brought to show application of the model in practical situation. تفاصيل المقالة