دورية أكاديمية
An interval fuzzy robust nonlinear program for the planning of municipal solid waste management systems under uncertainty
| العنوان: | An interval fuzzy robust nonlinear program for the planning of municipal solid waste management systems under uncertainty |
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| المؤلفون: | Sun, Y., Huang, G. H., Li, Y. P., Xu, Y., Cao, M. F. |
| المساهمون: | Huang, GH (reprint author), N China Elect Power Univ, Sino Canada Ctr Energy & Environm Res, Beijing 102206, Peoples R China., N China Elect Power Univ, Sino Canada Ctr Energy & Environm Res, Beijing 102206, Peoples R China., Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada., Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China. |
| المصدر: | EI ; SCI |
| بيانات النشر: | engineering optimization |
| سنة النشر: | 2009 |
| المجموعة: | Peking University Institutional Repository (PKU IR) / 北京大学机构知识库 |
| مصطلحات موضوعية: | environment, interval optimization, nonlinear programming, robust programming, solid waste, planning, uncertainty, OPTIMIZATION, DECISION, MODEL |
| الوصف: | An interval fuzzy robust nonlinear program (IFRNLP) is developed and applied to a municipal solid waste (MSW) management planning problem. The method improves upon existing fuzzy robust programming and interval nonlinear programming by considering dual uncertainties and the effects of economies of scale on the MSW system. The proposed IFRNLP can explicitly address system uncertainties with complex presentations, such as fuzzy sets, interval numbers, and their combinations. The developed IFRNLP is then applied to the planning of a MSW management. The results indicate that reasonable solutions have been generated. They reflect a compromise between optimality and stability of the study system, and are realistic reflections of system complexities such as nonlinear and dual uncertainties. Moreover, when compared with existing methods of interval nonlinear programming and interval fuzzy robust linear programming, IFRNLP can provide a more effective means of reflecting system cost variations and may, therefore, generate more realistic and applicable solutions. ; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000274363000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Test ; Engineering, Multidisciplinary ; Operations Research & Management Science ; SCI(E) ; EI ; SSCI ; 5 ; ARTICLE ; 11 ; 989-1016 ; 41 |
| نوع الوثيقة: | journal/newspaper |
| اللغة: | English |
| تدمد: | 0305-215X |
| العلاقة: | ENGINEERING OPTIMIZATION.2009,41,(11),989-1016.; 942334; http://hdl.handle.net/20.500.11897/246661Test; WOS:000274363000001 |
| DOI: | 10.1080/03052150902787955 |
| الإتاحة: | https://doi.org/20.500.11897/246661Test https://doi.org/10.1080/03052150902787955Test https://hdl.handle.net/20.500.11897/246661Test |
| رقم الانضمام: | edsbas.CF13B148 |
| قاعدة البيانات: | BASE |
| تدمد: | 0305215X |
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| DOI: | 10.1080/03052150902787955 |