Multi-fuzzy set theory is an extension of fuzzy set theory, L-fuzzy set theory and Atanassov intuitionistic fuzzy set theory. In this paper we study the relation between Atanassov intuitionistic fuzzy and the proposed extension called Multi-fuzzy. Also we present the notion of Multi-fuzzy mappings and Atanassov Intuitionistic Fuzzy Sets Generating Maps. Mathematics Subject Classification: MSC: ...

seismic hazard assessment like many other issues in seismology is a complicated problem, which is due to variety of parameters affecting the occurrence of earthquake. uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rationale way. herein, fuzzy set theory is used to take into account the uncertainty existed in the seismic hazard analysis. the...

This paper discussed the application of Information and Communication Technology (ICT) in pharmaceutical product marketing in Nigeria. Data for the study was obtained from 76 pharmaceutical firms in southwest Nigeria which comprised of about 95% of the pharmaceutical companies that were into manufacturing of drugs in Nigeria. The categories of firms surveyed include retail pharmacy, combination...

OBJECTIVE To review original research studies published between 1990 and 2004 on the access and use of medicines in Mexico to assess the knowledge base for reforming Mexico's pharmaceutical policy. MATERIAL AND METHODS A literature review using electronic databases was conducted of original studies published in the last 15 years about access and use of medicines in Mexico. In addition, a manu...

Drawing on international examples of published policy objectives for national pharmaceutical policies, we propose a framework for gauging system performance on the health-related goals of policy in the pharmaceutical sector. We review basic policy structures and performance indicators for the seven participating countries of the Commonwealth Fund”s 2007 International Health Policy Survey. We ex...

Uncertainty in spatial analysis and planning has conventionally been treated as a consequence of random occurrence of exact spatial events. The present paper, however, argues that fuzziness is actually a major contributory factor to most of the uncertain spatial behavior. Exactitude in representing, analyzing, and predicting human behaviors over space and time is difficult if not impossible to ...

The availability of data for the size of the “Underground Economy” is important for macroeconomic policy. We use fuzzy set theory and fuzzy logic to construct an annual time-series for the (unobservable) New Zealand underground economy over the period 1968 to 1994. Two input variables are used – the effective tax rate and an index of the degree of regulation. The resulting underground economy t...

Fuzzy relations are able to model vagueness, in the sense that they provide the degree to which two objects are related to each other. However, they cannot model uncertainty: there is no means to attribute reliability information to the membership degrees. Intuitionistic fuzzy sets, as de1ned by Atanassov (Instuitionistic Fuzzy Sets, Physica-Verlag, Heidelberg, New York, 1999), give us a way to...

Many of the admission control strategies for cellular data networks proposed in the literature allow the network operator to use different policies, depending on the network load, the number of users from each quality of service class, etc. Each policy is applied in a certain region, the regions being separated by thresholds. Those approaches suffer from a lack of flexibility: when the operatin...