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Inexact mathematical programming for...

Guo, Ping.

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Inexact mathematical programming for the management of water resources and environmental systems under multiple uncertainities.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Inexact mathematical programming for the management of water resources and environmental systems under multiple uncertainities./
作者:	Guo, Ping.
面頁冊數:	413 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-01, Section: B, page: 0570.
Contained By:	Dissertation Abstracts International71-01B.
標題:	Engineering, Sanitary and Municipal. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR55134
ISBN:	9780494551349

Inexact mathematical programming for the management of water resources and environmental systems under multiple uncertainities.
Guo, Ping.

Inexact mathematical programming for the management of water resources and environmental systems under multiple uncertainities. - 413 p.

Source: Dissertation Abstracts International, Volume: 71-01, Section: B, page: 0570.

Thesis (Ph.D.)--The University of Regina (Canada), 2009.

Water resources conservation and environmental protection have been challenging many regional planners and decision makers. Uncertainties exist in many related system components and may intensify the complexities in the efforts for generating desired plans for water resources and environmental management. Effective management should be based on a variety of decision support studies. Generally, optimization methods are useful for providing desired decision support. However, optimization modeling of water resources and environmental systems is often associated with complexities of interactive, dynamic and uncertain characteristics. To facilitate robust environmental management, advanced optimization methodologies that are able to reflect these complexities are desired.

ISBN: 9780494551349Subjects--Topical Terms:

1018731
Engineering, Sanitary and Municipal.

Inexact mathematical programming for the management of water resources and environmental systems under multiple uncertainities.
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500 $a Source: Dissertation Abstracts International, Volume: 71-01, Section: B, page: 0570.
502 $a Thesis (Ph.D.)--The University of Regina (Canada), 2009.
520 $a Water resources conservation and environmental protection have been challenging many regional planners and decision makers. Uncertainties exist in many related system components and may intensify the complexities in the efforts for generating desired plans for water resources and environmental management. Effective management should be based on a variety of decision support studies. Generally, optimization methods are useful for providing desired decision support. However, optimization modeling of water resources and environmental systems is often associated with complexities of interactive, dynamic and uncertain characteristics. To facilitate robust environmental management, advanced optimization methodologies that are able to reflect these complexities are desired.
520 $a In this dissertation research, a number of optimization-based decision support methodologies were developed and applied to water resources and environmental management systems. The following methods were included: (a) an inexact stochastic mix-integer linear semi-infinite programming approach for solid waste management and planning under uncertainty, (b) an interval-parameter fuzzy-stochastic semi-infinite mixed-integer linear programming method for waste management under uncertainty, (c) an interval-parameter two-stage stochastic semi-infinite programming method for water resources management under uncertainty, (d) an interval-parameter chance-constrained two-stage stochastic semi-infinite programming technique for environmental management under uncertainty, (e) a fuzzy random two-stage programming method for water resources management under dual uncertainties, (f) a two-stage fuzzy chance-constrained programming approach for water resources management under dual uncertainties, (g) an inexact fuzzy-stochastic programming method for water resources management under multiple uncertainties, and (h) an inexact fuzzy-chance-constrained two-stage mixed integer programming approach for solid waste management in the City of Regina. For each method, efforts were made for system conceptualization, model development, complexity analysis and case application.
520 $a The developed methodologies could help provide decision supports for managing various water resources and environmental management problems. These proposed methods improved upon the existing optimization approaches and had advantages in reflecting multiple uncertainties presented as fuzzy sets, probability distributions, interval parameters, functional intervals, fuzzy random variables, and distributions with fuzzy probabilities as well as their combinations. The obtained solutions were useful for analyzing tradeoffs among various environmental resources and socio-economic objectives, such that desired decision schemes could be identified.
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