Journal ArticleDOI
A fuzzy interval multiobjective mixed integer programming approach for the optimal planning of solid waste management systems
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TLDR
A new approach a fuzzy interval multiobjective mixed integer programming (FIMOMIP) model is proposed for the evaluation of management strategies for solid waste management in a metropolitan region and demonstrates how uncertain messages can be quantified by specific membership functions and combined through the use of interval numbers in a multiobjectives analytical framework.About:
This article is published in Fuzzy Sets and Systems.The article was published on 1997-07-01. It has received 120 citations till now. The article focuses on the topics: Integer programming & Fuzzy set.read more
Citations
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Journal ArticleDOI
Systems approaches to integrated solid waste management in developing countries.
TL;DR: The importance of founding new SWM approaches for developing country contexts in post-normal science and complex, adaptive systems thinking is demonstrated.
Journal ArticleDOI
Solid waste management in European countries: a review of systems analysis techniques.
TL;DR: Considering systems analysis models and tools in a synergistic way would certainly provide opportunities to develop better solid waste management strategies leading to conformity with current standards and foster future perspectives for both the waste management industry and government agencies in European Union.
Journal ArticleDOI
An Interval-Parameter Fuzzy-Stochastic Programming Approach for Municipal Solid Waste Management and Planning
TL;DR: In this article, an integrated fuzzy-stochastic linear programming model is developed and applied to municipal solid waste management, with the objective of minimizing system costs over the planning horizon.
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An environmentally sustainable decision model for urban solid waste management
TL;DR: Pollution and impacts, induced by the overall solid waste management system, are considered through the formalization of constraints on incineration emissions and on negative effects produced by disposal or other particular treatments.
Journal ArticleDOI
Optimal process network for municipal solid waste management in Iskandar Malaysia
TL;DR: In this paper, the authors proposed a mixed integer linear programming (MILP) model to predict the best mix of waste treatment technologies, forecast the production of byproduct from waste treatment process, estimate the facility capacity, and eventually generate an optimal cost-effective solution for municipal solid waste management (MSWM).
References
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Book
Multiple Attribute Decision Making: Methods and Applications
TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
Journal ArticleDOI
A grey linear programming approach for municipal solid waste management planning under uncertainty
TL;DR: In this paper, a grey linear programming (GLP) model is introduced to the civil engineering area, which allows uncertainties in the model inputs to be communicated into the optimization process, and thereby solutions reflecting the inherent uncertainties can be derived.
Book
Linear multiobjective programming
TL;DR: The Origin of the Multiobjective Problem and a Short Historical Review are reviewed and a method for Generating Adjacent Extreme Points - A Second Approach (Multicriteria Simplex Method).
Journal ArticleDOI
Grey integer programming: An application to waste management planning under uncertainty
TL;DR: In this article, grey integer programming (GIP) is used for facility expansion planning under uncertainty, by incorporating the concepts of grey number and grey mathematical programming into a mixed integer linear programming optimization framework.