Journal ArticleDOI
Robust stochastic fuzzy possibilistic programming for environmental decision making under uncertainty.
TLDR
The results of the case study indicate that useful information can be obtained through the proposed RCFPP model for providing feasible decision schemes for different agricultural activities under different scenarios (combinations of different p-necessity and p(i) levels).About:
This article is published in Science of The Total Environment.The article was published on 2009-12-20. It has received 50 citations till now. The article focuses on the topics: Stochastic programming & Decision support system.read more
Citations
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Journal ArticleDOI
Water quality analysis in rivers with non-parametric probability distributions and fuzzy inference systems: application to the Cauca River, Colombia.
TL;DR: The results of this study show that fuzzy inference systems integrated to stochastic non-parametric techniques may be used as complementary tools in water quality indexing methodologies.
Journal ArticleDOI
Shale gas wastewater management under uncertainty
TL;DR: An optimization model named UO-FPW is developed that can be easily integrated into decision support systems for shale oil/gas lifecycle management and applied to a representative hypothetical case study to demonstrate its applicability in practice.
Journal ArticleDOI
Crop planning and water resource allocation for sustainable development of an irrigation region in China under multiple uncertainties
TL;DR: In this paper, an interactive two-stage fuzzy stochastic programming (ITFSP) method is developed for supporting crop planning and water resource allocation under uncertainty, which can effectively address uncertainties expressed as probability distributions and fuzzy-boundary intervals.
Journal ArticleDOI
Agricultural effluent control under uncertainty: An inexact double-sided fuzzy chance-constrained model
Y. Xu,Xiaosheng Qin +1 more
TL;DR: In this paper, an inexact double-sided fuzzy chance-constrained programming (IDFCCP) method was developed and applied to an agricultural effluent control management problem.
Journal ArticleDOI
Fuzzy Possibilistic Modeling for Closed Loop Recycling Collection Networks
TL;DR: In this article, a mixed nonlinear facility location allocation model is proposed for recycling collection centers, which consists of multiple echelons, multiple suppliers, multiple collection centres, multiple time period and also multiple facilities.
References
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Journal ArticleDOI
Fuzzy sets as a basis for a theory of possibility
TL;DR: The theory of possibility described in this paper is related to the theory of fuzzy sets by defining the concept of a possibility distribution as a fuzzy restriction which acts as an elastic constraint on the values that may be assigned to a variable.
Book
Possibility Theory: An Approach to Computerized Processing of Uncertainty
Didier Dubois,Henri Prade +1 more
TL;DR: This chapter discusses the use of Fuzzy Sets for the Evaluation and Ranking of Objects, a Quantitative Approach to Multiaspect Choice, and some of the techniques used in this approach.
Journal ArticleDOI
Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming
TL;DR: This note formulates a convex mathematical programming problem in which the usual definition of the feasible region is replaced by a significantly different strategy via set containment.
Journal ArticleDOI
Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem
TL;DR: Some fuzzy linear programming methods and techniques from a practical point of view are reviewed and some newly developed ideas and techniques in fuzzy mathematical programming are briey reviewed.
Journal ArticleDOI
An interactive possibilistic programming approach for multiple objective supply chain master planning
Seyed Ali Torabi,Elkafi Hassini +1 more
TL;DR: In this article, a multi-objective possibilistic mixed integer linear programming model (MOPMILP) is proposed for integrating procurement, production and distribution planning considering various conflicting objectives simultaneously as well as the imprecise nature of some critical parameters such as market demands, cost/time coefficients and capacity levels.
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