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When talking about data, information, knowledge and wisdom we usually have a vague understanding on the concepts that are described by these terms. However, their relationships and dependencies can-and usually have to-be described from different perspectives in order to cover most of their facets. In this paper, we try to give an overview of some fundamental aspects that we have to consider. This...
This paper shows an alternative method to find optimal solutions of a fuzzy linear programming (FLP) problems. The classical FLP problem is treated by using fuzzy restrictions in the form Ax les b where indicates a type-1 fuzzy set (T1 FS). The proposed approach uses joint A and b fuzzy parameters to solve a FLP model. Nonlinear membership functions are used to represent imprecisions in their parameters...
In the traditional (2-valued) logic, we assume that each statement is either true or false. In practice, for some statements, we do not know whether they are true or false. It is therefore natural to consider different degrees of confidence; the (partially) ordered set V of all such degrees forms a fuzzy logic. For example, in the standard [0,1]-based fuzzy logic, these degrees form the interval [0,1]...
The algebra of truth values for fuzzy sets of type-2 consists of all mappings from the unit interval into itself, with operations certain convolutions of these mappings with respect to pointwise max and min. This algebra has been studied rather extensively in the last few years, both from an applications point of view and a theoretical one. Most of the theory goes through when is replaced by any two...
E-commerce companies have developed tools to assist users in finding the most suitable items for their needs or preferences. The most successful tool in this area has been the recommender systems. This kind of software obtains information about the users' tastes, opinions, necessities, and with a recommendation algorithm, infers recommendations that lead users to the most suitable items for them....
A case is made for the use of a consensus theory measure in the form of the agreement measure to determine the risk associated with a mutual fund. Risk can be important in deciding on a stock purchase, or as a factor in determining how best to manage one's portfolio. The beta associated with each stock is used as the basis for the agreement calculation. The individual Beta's are processed by a clustering...
E-commerce became very popular in recent years because of the great success achieved by some applications such as online auctions. However, currently the trend is that users of these portals execute more transactions in direct shopping than in online auctions and, probably because of the beginning of many of such portals as auctioning sites, their effectiveness decreases when searching for products...
In order to achieve timely response, decision-making in emergency situation needs rapid integration of decision models and the ability to orchestrate the execution of the model(s) in real time by understanding heterogeneous and distributed models and choosing appropriate ones from a collection of models in emergency decision support systems. In this paper, after the in-depth research to new challenges...
Ambient Intelligence offers significant benefits to e-commerce services, which is facilitated by the emergence of ubiquity (being available everywhere), universality (being able to operate in heterogeneous environments), uniqueness (relating services to a context such as the location) and working in unison (allowing multiple parties to work together). This type of e-commerce has been termed u-commerce...
An important trend for e-commerce sites is to be able to provide a personalized experience for the consumer, and there has been an increasing research interest in Web usage mining techniques to that end. One of the current problems of Web usage mining deals with privacy and anonymity. The data it uses, contains sensitive information that should be protected. We introduce the microaggregation of Web...
One of the new directions in current e-government development is to provide personalized online services to citizens and businesses. Recommendation techniques can bring a possible solution for this issue. This study proposes a hybrid recommendation approach to provide personalized government to business (G2B) e-services. The approach integrates fuzzy sets-based semantic similarity and traditional...
A substantial weakness of the risk-assessment guidelines adopted by four US Government agencies is their failure to properly reflect the inherent statistical and non-statistical uncertainties involved in risk measurement. This paper critically reviews the four-stage guideline developed by the National Research Council (NRC) in 1983 and adopted, de facto, by EPA, FDA, OSHA, and the Consumer Product...
This paper presents and discusses a conceptual model for understanding the consumer's adoption, use and main psychological outcomes related to a particular website recommendation system, with the emphasis on the psychological perspective of the research problem. We base our work on, adapt and integrate classical theories of consumer behavior with specific theories developed within the framework of...
Medical risk is assessed when clinical decisions are made for prediction in the individual patient. These involve usually diagnosis, choice of diagnostic testing or treatment. Evidence-based medicine is the accepted method by which medical risk is quantified. Evidence based medicine relies on scientific truth being defined from systemic observation of patients, the information from which is statistical,...
In this paper, some researches on distances of interval-valued fuzzy sets are made and some properties of metric space with respect to these distances are discussed.
Monads and their t-algebras have been studied as an important link between categories and universal algebra. Monads of fuzzy sets, that is, monads which are mappings from sets to complete Heyting algebras, have also been studied for some time (see, e.g.,). This paper reviews two important kinds of monads in this category, singleton monads and fuzzy theories. It is shown that fuzzy theories may have...
Fuzzy logic allows for logical operators that are completely different from those of Boolean logic. This paper examines functions that compose with themselves to produce negation. This paper examines three types of tools that allow us to analyze this, and similar questions about fuzzy logic.
We present an approach to a more efficient generation of linguistic summaries using the traditional degree of truth and a degree of focus based mechanism for discarding nonpromising summaries. We use the approach to derive linguistic data summaries to subsume the past performance of an investment (mutual) fund, and then present numerical results on the efficiency of the truncation process proposed...
This paper extends FSM, a recently proposed semantic data model that supports fuzziness, imprecision and uncertainty of real-world. More precisely, the paper proposes four new concepts, decisional grouping, inhibition, multiplicity and selection, which allows enhancing the modeling of real-world applications. It integrates these concepts in FSM by the definition of new decision rules.
Designing controllers to reject disturbances, which cannot be accurately measured or estimated, is a challenging problem in real applications where the behaviour of the system is both non-linear and uncertain. Control schemes based on internal model control (IMC) can only be used to reject disturbances in non-linear systems if they do not affect the relationship between the controlled variable and...
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