نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار، گروه مهندسی صنایع، دانشکده فنی و مهندسی شرق، دانشگاه گیلان، گیلان، ایران
2 دانشجوی دکتری، گروه مدیریت صنعتی تولید و عملیات، دانشگاه آزاد اسلامی، واحد بینالمللی بندرانزلی، بندرانزلی، ایران
چکیده
کلیدواژهها
-ابراهیمی، م. و میرزایی مدام، م.، (139۴)، "رتبهبندی مناطق تهران برای افزودن سرویسهای اورژانس جدید به روش AHP فازی"، نشریه مهندسی صنایع، دوره ۴۹، شماره ۲،
ص. ۱۶۳-۱۴۹.
-آذر، ع. و فرجی، ح.، (1395)، "علم مدیریت فازی (چاپنجم)"، انتشارات موسسه کتاب مهربان نشر.
-کاظمیزاده، ز. و پارسافر، ن.، (1391)، "بررسی تطبیقی چالشهای استفاده از CNG بهعنوان سوخت جایگزین در بخش حملونقل با نتایج حاصل از نظرسنجی"، یازدهمین کنفرانس بینالمللی حملونقل و ترافیک.
-میرزامحمدی، س. اشگرف، ر. و سجادی، س.ج.، (139۳)، "شناسایی عوامل مؤثر بر خصوصیسازی صنایع پالایش گاز ایران با رویکرد تلفیقی دلفی دیمتل (مطالعه موردی: شرکت پالایش گاز پارسیان)"، نشریه مهندسی صنایع، دوره ۴۸، شماره ۲، ص.۱۵۰-۱۳۷.
-میرفتاح، س.م.، (1389)، "سیاستهای توسعهای حملونقل گازسوز (CNG) در سایر کشورها"، مجله اقتصادی، ماهنامه بررسی مسائل و سیاستهای اقتصادی، شمارههای 11 و 12، ص. 60-43.
-Banaeian, N., Mobli, H., Nielsen, I. E., & Omid, M., (2015), “Criteria definition and approaches in green supplier selection–a case study for raw material and packaging of food industry”, Production & Manufacturing Research, 3(1), pp.149-168.
-Büyüközkan, G., & Göçer, F., (2018), “An extension of ARAS methodology under Interval Valued Intuitionistic Fuzzy environment for Digital Supply Chain”, Applied Soft Computing, 69, pp.634-654.
-Büyüközkan, G.; Karabulut, Y., (2017), “Energy project performance evaluation with sustainability perspective”, Energy, 119, pp.549–560.
-Chang, B. Chang, C-W. Wu, H., (2011), “Fuzzy DEMATEL method for developing supplier selection criteria, Expert Systems with Applications, 38, pp.1850- 1858.
-Dahooie, J. H., Zavadskas, E. K., Abolhasani, M., Vanaki, A., & Turskis, Z., (2018), “A Novel Approach for Evaluation of Projects Using an Interval–Valued Fuzzy Additive Ratio Assessment (ARAS) Method: A Case Study of Oil and Gas Well Drilling Projects”, Symmetry, 10(2), pp. 45.
-Flores, I., Chatziioannou, I., Segura, E., & Hernández, S., (2013), “Urban transport infrastructure: A state of the art”, In Proceedings of the European modelling and simulation symposium, pp. 83-92.
-Hsu, C-W., Kuo, T-C., Chen, S-H. & Hu, A-H., (2011), “Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management”, Journal of Cleaner Production, 56, pp.164-172.
-Jassbi, J., Mohamadnejad, F. & Nasrollahzadeh, H., (2011), “A Fuzzy DEMATEL Framework for Modeling Cause and Effect relationships of strategy ma. Safety Science”, 49, pp.243–252.
-Kahraman, C., Onar, S. C., & Oztaysi, B., (2015), “Fuzzy multi criteria decision-making: a literature review”, International Journal of Computational Intelligence Systems, 8(4), pp.637-666.
-Kumar, A., Pal, A., Vohra, A., Gupta, S., Manchanda, S., & Dash, M. K., (2018), “Construction of Capital Procurement Decision Making Models to Optimize Supplier Selection Using Fuzzy Delphi and AHP-DEMATEL”, Benchmarking, an International Journal.
-Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C., (2017), “A review of multi criteria decision making (MCDM) towards sustainable renewable energy development”, Renewable and Sustainable Energy Reviews, 69, pp.596-609.
-Kutut, V., Zavadskas, E. K., & Lazauskas, M., (2014), “Assessment of priority alternatives for preservation of historic buildings using model based on ARAS and AHP methods. Archives of Civil and Mechanical Engineering”, 14(2), pp.287-294.
-Liao, C. N., Fu, Y. K., & Wu, L. C., (2016), “Integrated FAHP, ARAS-F and MSGP methods for green supplier evaluation and selection”, Technological and Economic Development of Economy, 22(5), pp.651-669.
-Mavi, R. K., (2015), “Green supplier selection: a fuzzy AHP and fuzzy ARAS approach. International Journal of Services and Operations Management”, 22(2), pp.165-188.
-Nations, U., (2014), “World urbanization prospects: The 2014 revision, highlights”, Department of economic and social affairs. Population Division, United Nations, 32.
-Nguyen, H. T., Dawal, S. Z. M., Nukman, Y., Rifai, A. P., & Aoyama, H., (2016), “An integrated MCDM model for conveyor equipment evaluation and Selection in an FMC based on a fuzzy AHP and fuzzy ARAS in the presence of vagueness”, PloS one, 11(4).
-Sadeq Tabrizi J, Gharibi F., (2013), “Developing a national accreditation model via Delphi Technique”, Jhosp; 11 (2), pp.9-17.
-Štreimikienė, D., Šliogerienė, J., & Turskis, Z., (2016), “Multi-criteria analysis of electricity generation technologies in Lithuania”, Renewable Energy, 85, pp.148-156.
-Tupenaite, L. Zavadskas, E.K. Kaklauskas, A. Turskis, Z. Seniut, M., (2010), “Multiple criteria assessment of alternatives for built and human environment renovation, J. Civ. Eng. Manag, 16, pp.257–266.
-Wei, G.; Zhao, X., (2013), “Induced hesitant interval-valued fuzzy Einstein aggregation operators and their application to multiple attribute decision making. J. Intell. Fuzzy Syst., 24”, pp.789–803.
-Zare, M., Pahl, C., Rahnama, H., Nilashi, M., Mardani, A., Ibrahim, O., & Ahmadi, H., (2016), “Multi-criteria decision making approach in
E-learning: A systematic review and classification”, Applied Soft Computing, 45, pp.108-128.
-Zavadskas, E. K., Govindan, K., Antucheviciene, J., & Turskis, Z., (2016), “Hybrid multiple criteria decision-making methods”, A review of applications for sustainability issues”, Economic
research-Ekonomska istraživanja, 29(1), pp.857-887.
-Zavadskas, E. Turskis, Z. Vilutiene, T., (2010), “Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method”, Arch. Civ. Mech. Eng, 10, pp.123–141.
-Zavadskas, E.K. Antucheviciene, J. Hajiagha, S.H.R.; Hashemi, S.S., (2014), “Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF)”, Appl. Soft Comput., 24, pp.1013–1021.
-Zavadskasa, K. & Turskisb, Z., (2010), “A new additive ratio assessment (ARAS) method in multicriteria decision-making. Journal of Technological and Economic Development of Economy, 16 (2), pp. 159-172.