دانلود مقاله ISI انگلیسی شماره 78495
عنوان فارسی مقاله

مدل برنامه نویسی فازی صف نادرست برای برنامه ریزی سیستم های محیطی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
78495 2011 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
An inexact fuzzy-queue programming model for environmental systems planning
منبع

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

Journal : Engineering Applications of Artificial Intelligence, Volume 24, Issue 5, August 2011, Pages 840–849

کلمات کلیدی
تصمیم سازی؛ محیط؛ صف فازی؛ فاصله - بهينه سازي؛ عدم قطعیت
پیش نمایش مقاله
پیش نمایش مقاله مدل برنامه نویسی فازی صف نادرست برای برنامه ریزی سیستم های محیطی

چکیده انگلیسی

In this study, an inexact fuzzy-queue programming (IFQP) model is developed for municipal solid waste (MSW) management under uncertainty, where fuzzy queue (FQ) model is introduced into the interval-fuzzy linear programming (IFLP) framework. The proposed IFQP model can not only handle uncertainties that are presented in terms of fuzzy sets and discrete intervals, but also reflect the influence of FQ in decision-making problems. Moreover, it can help quantify the satisfaction degrees of the system cost and constraints under uncertainty. It improves upon the existing optimization model with advantages in data availability, uncertainty reflection and result analysis. In its solution process, the model is transformed into two deterministic submodels based on an interactive algorithm. Interval solutions which are stable in the decision space can be obtained by solving the two submodels sequentially. The developed model is applied to a case of long-term planning of MSW management systems to demonstrate its applicability. It can effectively reflect dynamic, interactive, and uncertain characteristics of municipal waste management systems. The decision variable solutions provide optimal schemes for waste flow allocation corresponding to lower and upper bounds of system cost. The results indicate that reasonable solutions have been generated. They are helpful for supporting: (i) decision making or justification of waste-allocation patterns of MSW management system, and (ii) in-depth analysis of tradeoffs among system cost, satisfaction degree, and environmental constraint under uncertainty.

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