Robust possibilistic programming
http://nob.cs.ucdavis.edu/bishop/secprog/robust.html WebTo cope with the uncertainty, a robust programming approach was extended into flexible-possibilistic programming. The final model controls the uncertainty and risk-aversion of output decisions and effectively confronts the adverse effects of disruptions.
Robust possibilistic programming
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WebAs fuzzy mathematical programming is categorized into Possibilistic programming and Flexible programming, ROFP also can be classified into: [2] Robust possibilistic … WebAug 1, 2014 · Possibilistic programming is used to address imprecise/ambiguous parameters of objective functions and constraints that are modeled by utilizing available objective data that are not enough in...
WebAnother contribution of this research is the development of a basic possibilistic chance-constrained programming (BPCCP) approach. After that, a robust possibilistic … WebAfter that, a robust possibilistic programming (RPP) model of the proposed problem is introduced to deal with the uncertainty of the model’s parameters. While the applicability of the proposed models is addressed, it is revealed that the RPP model obtains better solutions in comparison with the BPCCP model for different realizations and ...
WebProposing an interactive flexible robust possibilistic programming technique that significantly benefits from both flexible programming and robust programming and provides robust strategic and tactical-level decisions under multiple uncertainties. WebSince real-world problems related to industries such as food and agriculture are inherently uncertain, in this model, the important parameters of the problem are considered uncertain using fuzzy sets theory and a hybrid robust possibilistic programming model is developed.
WebDec 1, 2024 · Zadeh (1978) was the pioneer researcher in possibilistic programming that proposed the fundamental principles of possibility theory and then many studies have been done to extend the possibility theory. He propounded that the possibility theory is a mathematical theory to model certain types of uncertainty as an alternative for probability …
WebTo this aim, a bi-objective mathematical programming model is developed which minimises the total cost as well as the maximum unsatisfied demand. Due to uncertain nature of some input parameters, two novel robust possibilistic programming models are proposed based on credibility measure. black crow batonWebApr 14, 2024 · A robust possibilistic programming approach is applied to address the uncertainties. A fully-decentralized approach called the alternating direction method of multipliers (ADMM) is utilized to solve the presented decentralized robust problem. black crow bar and grillhttp://nob.cs.ucdavis.edu/classes/ecs153-2005-02/handouts/robust.pdf black crow beadsWebNov 1, 2024 · A new effectual robust possibilistic programming (RPP) model is developed to confront with business-as-usual uncertainty in input parameters in a reliable closed-loop supply chain network in which a new reliability method is introduced. Nowadays, the importance of caring about tremendous undesirable economical and technological … gama professional hair dryer replacement ringWebOct 1, 2024 · In this paper, the goal is to determine optimal order quantity and backordering size for each product. To develop a realistic mathematical model of the problem, three robust possibilistic programming (RPP) approaches are developed to deal with uncertainty in main parameters of the model. black crow beerWebA Possibilistic Programming Approach to Portfolio Optimization Problem under Fuzzy Data - A Robust Variant of Radial Measure for Performance … gama profesionalWebA robust possibilistic programming approach is developed to optimize the routing problem by obtaining its robust solutions. A case study is presented to demonstrate the feasibility black crow beatrice ne