64 articles for “Fuzzy c-mean”

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Research ArticleOpen accessIn the abstractSemantic Refinement of Multi-meaning Words by T-normsF. Sadeghi, H. Khosravi, E. EslamiIn this paper we consider a multi-meaning word which appears in a sentence together with some connected words. To refine the meaning of this multi-meaning word, we propose a method based on T-norms which are reasonable mathematical models of logical conjunction operator in fuzzy logic. The preliminary results derived from a prepared corpus are encouraging. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,418 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordFUZZY SIMPLE ADDITIVE WEIGHTING BASED, DECISION SUPPORT SYSTEM APPLICATION FOR ALTERNATIVE CONFUSION REDUCTION STRATEGY IN SMARTPHONE PURCHASESRobertus Nugroho Perwiro Atmojo, Anindito, Bens Pardamean et al.Consumer confusion is a phenomena when the consumer experiencing several confusion problems when she/he should to purchase products/services. Usually, consumer will do a strategy to coping the confusion, that strategy is known as Confusion Reduction Strategy. The conventional ways usually taken by the consumer to reduce the confusion are, such as: Asking for product recommendation to close relatives, seeking for … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 8 Feb 2014 · 7,593 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordDEVELOPMENT OF FACTORS EFFECTIVE IN THE SUCCESS OF GREEN SUPPLY CHAIN MANAGEMENTMahsa Pishdar, Mohammad Reza Seyyed Hashemi Toloun, Sima Zamani, Fereshteh FarzianpourIndustrialists and researchers now realize the importance of preserving the environment and principles related to. Sustainable protection can be achieved by protection of environment. Such factors encourage manufacturers to adhere principles of ecological production. In this way, study of factors effective in success of green supply chain management can be really helpful. Assistance to manufacturers having a successful green supply … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 1 · 20 Dec 2013 · 7,527 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordHybrid Exponential Particle Swarm Optimization K-Means Algorithm for Efficient Image SegmentationK. M. Murugesan, S. PalaniswamiThe introduction of unsupervised learning techniques like K-means inside the domain of Image Processing plays a vital role in Image Segmentation. The hybridization of this Algorithm by using Swarm Intelligent techniques further more improves the efficiency. Various works on hybridization of Particle Swarm Optimization (PSO) with K-means have been proposed and are found to be efficient in Image Segmentation. However, … …Journal of Computer Science, Vol. 8, Issue 11 · 25 Oct 2012 · 7,146 accessesView PDF Cite