Document Detail


Capacity planning for waste management systems: an interval fuzzy robust dynamic programming approach.
MedLine Citation:
PMID:  19947113     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This study integrates the concepts of interval numbers and fuzzy sets into optimization analysis by dynamic programming as a means of accounting for system uncertainty. The developed interval fuzzy robust dynamic programming (IFRDP) model improves upon previous interval dynamic programming methods. It allows highly uncertain information to be effectively communicated into the optimization process through introducing the concept of fuzzy boundary interval and providing an interval-parameter fuzzy robust programming method for an embedded linear programming problem. Consequently, robustness of the optimization process and solution can be enhanced. The modeling approach is applied to a hypothetical problem for the planning of waste-flow allocation and treatment/disposal facility expansion within a municipal solid waste (MSW) management system. Interval solutions for capacity expansion of waste management facilities and relevant waste-flow allocation are generated and interpreted to provide useful decision alternatives. The results indicate that robust and useful solutions can be obtained, and the proposed IFRDP approach is applicable to practical problems that are associated with highly complex and uncertain information.
Authors:
Xianghui Nie; Guo H Huang; Yongping Li
Related Documents :
16756213 - The professional responsibility of lawyers: emotional competence, multiculturalism and ...
19274693 - Star mesogens (hekates)--tailor-made molecules for programming supramolecular functiona...
12380973 - Measures and costs of integrated river basin management--the wupper example.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of the Air & Waste Management Association (1995)     Volume:  59     ISSN:  1096-2247     ISO Abbreviation:  J Air Waste Manag Assoc     Publication Date:  2009 Nov 
Date Detail:
Created Date:  2009-12-01     Completed Date:  2009-12-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9503111     Medline TA:  J Air Waste Manag Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1317-30     Citation Subset:  IM    
Affiliation:
Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Fuzzy Logic*
Models, Theoretical*
Planning Techniques
Waste Management*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  An optimal spatial configuration of sample sites for air pollution monitoring.
Next Document:  Impact of fly ash composition on mercury speciation in simulated flue gas.