دانلود مقاله ISI انگلیسی شماره 6274
عنوان فارسی مقاله

کاربرد TOPSIS فازی در ارزیابی سیستم های حمل و نقل پایدار

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
6274 2011 11 صفحه PDF سفارش دهید 8770 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Application of fuzzy TOPSIS in evaluating sustainable transportation systems
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 38, Issue 10, 15 September 2011, Pages 12270–12280

کلمات کلیدی
- تصمیم گیری چند معیاری - ارزیابی پایداری - سیستم حمل و نقل شهری - تئوری فازی - نامعلومی یا عدم قطعیت
پیش نمایش مقاله
پیش نمایش مقاله کاربرد TOPSIS فازی در ارزیابی سیستم های حمل و نقل پایدار

چکیده انگلیسی

Sustainable transportation systems are the need of modern times. There has been an unexpected growth in the number of transportation activities over years and the trend is expected to continue in the coming years. This has obviously associated environmental costs like air pollution, noise, etc. which is degrading the quality of life in modern cities. To cope us this crisis, municipal administrations are investing in sustainable transportation systems that are not only efficient, robust and economical but also friendly towards environment. The challenge before the transportation decision makers is how to evaluate and select such sustainable transportation systems. In this paper, we present a multicriteria decision making approach for selecting sustainability transportation systems under partial or incomplete information (uncertainty). The proposed approach comprises of three steps. In step 1, we identify the criteria for sustainability assessment of transportation. In step 2, experts provide linguistic ratings to the potential alternatives against the selected criteria. Fuzzy TOPSIS is used to generate aggregate scores for sustainability assessment and selection of best alternative. In step 3, sensitivity analysis is performed to determine the influence of criteria weights on the decision making process. A numerical illustration is provided to demonstrate the applicability of the approach. The strength of the proposed work is its practical applicability and the ability to generate good quality solutions under uncertainty.

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