By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- Researchers detail new data in Fuzzy Logic. According to news reporting originating from Jeddah, Saudi Arabia, by VerticalNews correspondents, research stated, “In this paper, we investigate the picture fuzzy multiple attribute decision making problems where the attribute values are expressed in picture fuzzy numbers. We introduce some notions, such as picture fuzzy ideal point, the modules of picture fuzzy numbers.”
Financial support for this research came from National Natural Science Foundation of China.
Our news editors obtained a quote from the research from King Abdul-Aziz University, “We also introduce the cosine of the included angle between the attribute value vectors of each alternative and the picture fuzzy ideal point. Then we establish the projection model to measure the similarity degrees between each alternative and the picture fuzzy ideal point. Based on the projection models, we can rank the given alternatives and then select the most desirable one.”
According to the news editors, the research concluded: “Finally, we illustrate the developed projection models with a numerical example for potential evaluation of emerging technology commercialization.”
For more information on this research see: Projection models for multiple attribute decision making with picture fuzzy information. International Journal of Machine Learning and Cybernetics , 2018;9(4):713-719. International Journal of Machine Learning and Cybernetics can be contacted at: Springer Heidelberg, Tiergartenstrasse 17, D-69121 Heidelberg, Germany. (Springer - www.springer.com; International Journal of Machine Learning and Cybernetics - http://www.springerlink.com/content/1868-8071/)
The news editors report that additional information may be obtained by contacting G.W. Wei, King Abdulaziz Univ, Dept. of Elect & Comp Engn, Commun Syst & Networks CSN Res Grp, Fac Engn, Jeddah 21589, Saudi Arabia. Additional authors for this research include F.E. Alsaadi, T. Hayat and A. Alsaedi.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s13042-016-0604-1. 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: (2018-04-09), Study Results from King Abdul-Aziz University in the Area of Fuzzy Logic Reported (Projection models for multiple attribute decision making with picture fuzzy information), Journal of Robotics & Machine Learning, 303, ISSN: 1944-186X, BUTTER® ID: 015467900
From the newsletter Journal of Robotics & Machine Learning.
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