Forecasting return products in an integrated forward/reverse supply chain utilizing an anfis
D. Kumar, Hamed Soleimani, Govindan Kannan (2014)
International Journal of Applied Mathematics and Computer Science
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D. Kumar, Hamed Soleimani, Govindan Kannan (2014)
International Journal of Applied Mathematics and Computer Science
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Mohammad Fazel Zarandi, Ismail Türkşen, Soroosh Saghiri (2002)
International Journal of Applied Mathematics and Computer Science
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This survey presents crisp and fuzzy models developed for the Supply Chain (SC). To this end, fuzzy concepts are first briefly reviewed. Then the structure of a supply chain system is explained. Recent challenges and ideas on these systems are also surveyed. Then, with reference to different aspects of an SC system, we classify the recent fuzzy models developed for different SC systems and compare them with related crisp models. Applications of the SC in manufacturing and service industries...
Maxime Ogier, Van-Dat Cung, Julien Boissière (2013)
RAIRO - Operations Research - Recherche Opérationnelle
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This paper aims at developing efficient solving methods for an original service network design problem imbued with sustainable issues. Indeed the network has to be designed for short and local supply chain and for fresh food products. The original features of the problem are the seasonality of supply, the limitation of transshipments for a product and no possibility of storage between consecutive periods. Decisions at strategic and tactical level are (1) decisions on a subset of hubs...
P. Georgiadis, D. Vlachos (2004)
The Yugoslav Journal of Operations Research
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Cheng, Wushan (2008)
Mathematical Problems in Engineering
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Jesús A. Domínguez, Steven J. Klinko (2003)
Mathware and Soft Computing
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A visual system prototype that detects anomalies or defects in real time under normal lighting operating conditions was built for NASA at the Kennedy Space Center (KSC). The system prototype is basically a learning machine that integrates the three elements of soft computing, Fuzzy Logic (FL), Artificial Neural Network (ANN), and Genetic Algorithm (GA) schemes to process the image, run the learning process, and finally detect the anomalies or defects. The system acquires the image, performs...
Zbigniew Banaszak, Oleg Zaikin (2010)
Control and Cybernetics
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Lluis Vila, Lluis Godó (1994)
Mathware and Soft Computing
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Temporal Constraint Networks are a well-defined, natural and efficient formalism for representing temporal knowledge based on metric temporal constraints. They support the representation of both metric and some qualitative temporal relations and are provided with efficient algorithms based on CSP techniques. Recently, a generalization based on fuzzy sets has been proposed in order to cope with vagueness in temporal relations. In this paper we generalize some earlier definitions for Fuzzy...
Dušan Teodorović, Jovan Popović, Panta Lučić (2006)
The Yugoslav Journal of Operations Research
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Papadakis, S.E., Tzionas, P., Kaburlasos, V.G., Theocharis, J.B. (2004)
Acta Universitatis Apulensis. Mathematics - Informatics
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Chunshien Li, Tai-Wei Chiang (2012)
International Journal of Applied Mathematics and Computer Science
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Financial investors often face an urgent need to predict the future. Accurate forecasting may allow investors to be aware of changes in financial markets in the future, so that they can reduce the risk of investment. In this paper, we present an intelligent computing paradigm, called the Complex Neuro-Fuzzy System (CNFS), applied to the problem of financial time series forecasting. The CNFS is an adaptive system, which is designed using Complex Fuzzy Sets (CFSs) whose membership functions...
Dusan Marcek (2000)
Mathware and Soft Computing
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Most models for the time series of stock prices have centered on autoregresive (AR) processes. Traditionaly, fundamental Box-Jenkins analysis [3] have been the mainstream methodology used to develop time series models. Next, we briefly describe the develop a classical AR model for stock price forecasting. Then a fuzzy regression model is then introduced. Following this description, an artificial fuzzy neural network based on B-spline member ship function is presented as an alternative...
Dong Chen, Guiran Chang, Dawei Sun, Jiajia Li, Jie Jia, Xingwei Wang (2011)
Computer Science and Information Systems
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