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نتیجه جستجو - ORESTE method

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 A social participatory allocation network method with partial relations of alternatives and its application in sustainable food supply chain selection
یک روش شبکه تخصیص مشارکتی اجتماعی با روابط جزئی گزینه ها و کاربرد آن در انتخاب زنجیره تأمین مواد غذایی پایدار-2021
Choosing a good food supply chain is helpful for realizing the coordination of economic benefits and environmental optimization, so as to promote the sustainable development of the society. To solve such a problem, we need to ensure the accuracy of the original information and the validity of the aggregated information. However, experts may not be able to give professional evaluations in some aspects, and a simple ranking of alternatives cannot accurately reflect the relations between alternatives. To solve these problems, this paper proposes a comprehensive method integrating the social participatory allocation network (SPAN) and ORESTE methods under the q-rung orthopair fuzzy environment. To better deal with the imprecise and uncertain information, the q-rung orthopair fuzzy set is adopted in this study to represent decision-makers’ opinions. The delegate mechanism of the SPAN method is introduced to calculate the weights of experts, which make the assessments of alternatives credible. The ORESTE method is used to explore the relations between alternatives in detail. The preference function is used to deal with the case where the data is not ordinal. Finally, a case study concerning the selection of sustainable food supply chains is presented to verify the applicability of the proposed method.© 2021 Elsevier B.V. All rights reserved.
Keywords: Sustainable food supply chain management | Multiple criteria analysis | Group decision-making |q-rung orthopair fuzzy sets | Social participatory allocation network
مقاله انگلیسی
2 Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment
ارزیابی تراکم ترافیک با استفاده از روش ORESTE در محیط زبانی فازی با سلسله مراتب مضاعف-2020
With the new generation of information technology development and the promotion of the Internet, local governments turn their attention to the construction of intelligent transportation systems. More and more cities began building intelligent transportation which has been widely used to monitor urban traffic. Experts can evaluate urban traffic congestion based on the information collected from the big data of intelligent transportation. In recent two years, double hierarchy hesitant fuzzy linguistic term set has been widely used to depict explicit evaluation information, which is straightforward and broadspectrum. When evaluating traffic congestion in a city, decision makers can utilize double hierarchy hesitant fuzzy linguistic term sets to express vague information. Moreover, the ORESTE method is an applicative method which can select a reliable alternative by subdividing alternatives and reduce the loss of information in the conversion process. In this paper, we propose a double hierarchy hesitant fuzzy linguistic ORESTE method and a new score function of double hierarchy hesitant fuzzy linguistic term set. The method raises a new perspective to reduce the error from other methods and the new score function derives a robust decision-making result. Then, we apply the double hierarchy hesitant fuzzy linguistic ORESTE method to solve a practical case involving choosing the congested city by evaluating the 5S traffic congestion model. Finally, we compare the double hierarchy hesitant fuzzy linguistic ORESTE method with other methods such as the classical ORESTE method and the double hierarchy hesitant fuzzy linguistic MULTIMOORA to illustrate the advantages of our method.
Keywords: Double hierarchy hesitant fuzzy linguistic | term sets | Double hierarchy hesitant fuzzy linguistic | ORESTE method | Score function | Traffic congestion
مقاله انگلیسی
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