This paper develops Fuzzy inventory model to determine the relevant profit maximizing decision variable values. The model proposed is based on individual profits of vendor and buyer and joint total profit of them which finds out optimal ordering quantity, selling price and shipment policies. Shortages are allowed for both of them. Production rate, ordering quantity, shortage and holding cost of...

Quality assessment in clustering is a long-standing problem. In this contribution we describe some indexes to measure properties of clusterings, taking advantage of the added flexibility provided by fuzzy paradigms. We first present an approach to evaluate some indicators of quality of an individual clustering, by analyzing the co-association matrix. Then we describe a technique to evaluate the...

The Description Logic EL is used to formulate several large biomedical ontologies. Fuzzy extensions of EL can express the vagueness inherent in many biomedical concepts. We study the reasoning problem of deciding positive subsumption in fuzzy EL with semantics based on general t-norms. We show that the complexity of this problem depends on the specific t-norm chosen. More precisely, if the t-no...

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The popularity of modern online social networks has grown up so quickly in the last few years that, nowadays, social network analysis has become one of the hottest research lines in the world. It is important to highlight that social network analysis is not limited to the analysis of networks connecting people. Indeed, it is strongly connected with the classical methods widely recognized in the...

In advanced information and telecommunications network society, it is expected to utilize big data distributed among various organizations, such as cooperation groups, state organs and allied countries, with the goal of revealing intrinsic knowledge. In such collaborative data mining, however, personal privacy must be strictly preserved. This paper deals with a possible approach for utilizing d...

Fuzzy relation-based models for handling uncertainty (in a non-probabilistic way) in diagnosis problems have been introduced by Sanchez about twenty years ago, and since then applied and developed by several researchers. The paper first reviews the existing proposals, also including the association-based abductive model proposed by Reggia and his co-workers, which uses non-fuzzy relations. A ne...

The static synchronous compensator (STATCOM) has recently received much attention owing to its ability to stabilize power systems and mitigate voltage variations. This paper investigates a novel interval type-II fuzzy rule-based PID (proportional-integral-derivative) controller for the STATCOM to mitigate bus voltage variations caused by large changes in load and the intermittent generation of ...

Mr Wu Dongrui, a M.Eng student, received the 2005 IEEE International Conference on Fuzzy Systems Best Student Paper Award. The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) is a prestigious series of conferences sponsored by the IEEE Computational Intelligence Society. It is held annually and brings together scientists, engineers and practitioners working in fuzzy logic and related...

Imaging plays an important role in medical field like medical diagnosis, treatment planning and patient follow up. Image segmentation is the backbone process to accomplish these tasks by dividing an image in to meaningful parts which share similar properties. Medical Resonance Imaging (MRI) is primary diagnostic technique to do image segmentation. There are several techniques proposed for image...