Optimal planning of coastal wastewater treatment and disposal systems

Chang, Ni‐Bin; Wang, S. F.

doi:10.1080/08920759509362262

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Economy of scale is a major concern. As a result, many regression analyses have been conducted to analyze the capital cost structures for waste treatment plants (Graves et al, 1970;Robert, 1975;Chang and Wang, 1995a). But the efforts of those cost estimation techniques for wastewater treatment in the earlier stage generally cover various statistical regression models, such as simple linear regression, multiple linear regressions, and other nonlinear regression models.…”

Section: Introductionmentioning

confidence: 99%

A comparative analysis of methods to represent uncertainty in estimating the cost of constructing wastewater treatment plants

Chen

Chang

2002

Journal of Environmental Management

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Section: Introductionmentioning

confidence: 99%

A comparative analysis of methods to represent uncertainty in estimating the cost of constructing wastewater treatment plants

Chen

Chang

2002

Journal of Environmental Management

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“…In addition, the determination of membership grade often contains some randomness, which can incur some degree of uncertainty. Grey system theory first introduced by Deng in 1982 [8] has showed the usefulness and effectiveness for handling the problems with poor, incomplete, and uncertain data [9,10,11].The grey relational analysis based on this theory can satisfactorily solve the complicated interrelationship among the multi-objective optimization. It provides another tool to reflect uncertainty into the multi-variable model [12,13], using reference number sequence.…”

Section: Introductionmentioning

confidence: 99%

Application of Entropy Weight Technique in Grey Relational Analysis for Scheme Optimization of Sewage Treatment Plant

Cheng

Mei

2011

AMR

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In this paper, an attempt has been made to apply an efficient technique, in order to solve the uncertainty of multi-objective optimization, in the field of sewage treatment plant. The traditional grey relational analysis has been extended to deal with the multi-objective optimization problems. The difficulty of traditional grey relational analysis exists in calculation of the multiple indicators and ignorance of the relationship among evaluating indicators. But there is no specific guideline for assigning these indicator weights. In this context, the present study aims to apply the entropy measurement technique in order to determine the weights of evaluating indicators, which avoids the subjectivity in the process of estimating the weights. The proposed method involves four steps, including 1) original data processing, 2) grey relational coefficients calculation, 3) indicator weight calculation, and 4) grey relation grade calculations. The previously mentioned method has been applied to optimize schemes of a sewage treatment plant. The paper demonstrates a detailed methodology of the proposed technique as well as its effectiveness and applicability.

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Development of a cost function for wastewater treatment systems with fuzzy regression

Wen

Lee

1999

Fuzzy Sets and Systems

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Optimal planning of coastal wastewater treatment and disposal systems

Cited by 4 publications

References 2 publications

A comparative analysis of methods to represent uncertainty in estimating the cost of constructing wastewater treatment plants

A comparative analysis of methods to represent uncertainty in estimating the cost of constructing wastewater treatment plants

Application of Entropy Weight Technique in Grey Relational Analysis for Scheme Optimization of Sewage Treatment Plant

Development of a cost function for wastewater treatment systems with fuzzy regression

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