By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- Current study results on Fuzzy Logic have been published. According to news reporting from Nanchang, People’s Republic of China, by VerticalNews journalists, research stated, “The fuzzy linear program has various applications in knapsack problem, investment problem, capital budgeting problem, and transportation problem, etc. Considering the acceptance degree of decision maker that the fuzzy constraints may be violated, this paper develops a new method for the fuzzy linear program in which all the objective coefficients, technological coefficients and resources are trapezoidal fuzzy numbers (TrFNs).”
Financial supporters for this research include National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province of China, Young scientists Training object of Jiangxi province.
The news correspondents obtained a quote from the research from the Jiangxi University of Finance and Economics, “The order relationship for TrFNs is firstly given by using the interval expectation of TrFNs. According to the order relationship of TrFNs, the trapezoidal fuzzy linear program is transformed into the interval objective program. Combined with the ranking order relation between intervals and the acceptance degree of fuzzy constraints violated, the interval objective program is further transformed into the bi-objective linear program which is solved by the proposed goal programming approach. The proposed method of this paper is not only mathematically rigorous, but also can sufficiently consider the acceptance degree of the fuzzy constraints violated. The effectiveness and superiority of the proposed method are verified with a fuzzy knapsack problem and an investment problem.”
According to the news reporters, the research concluded: “Finally, a decision support system is developed for the proposed method.”
For more information on this research see: A new trapezoidal fuzzy linear programming method considering the acceptance degree of fuzzy constraints violated. Knowledge-Based Systems , 2018;148():100-114. Knowledge-Based Systems can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Knowledge-Based Systems - http://www.journals.elsevier.com/knowledge-based-systems/)
Our news journalists report that additional information may be obtained by contacting S.P. Wan, Jiangxi Univ Finance & Econ, Coll Informat Technol, Nanchang 330013, Jiangxi, People’s Republic of China.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.knosys.2018.02.030. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-04-23), Researchers from Jiangxi University of Finance and Economics Report Recent Findings in Fuzzy Logic (A new trapezoidal fuzzy linear programming method considering the acceptance degree of fuzzy constraints violated), Journal of Robotics & Machine Learning, 318, ISSN: 1944-186X, BUTTER® ID: 015548150
From the newsletter Journal of Robotics & Machine Learning.
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