Software maintainability depends both on qualitative and quantitative data. Existing maintainability models aggregate data into hierarchies of characteristics with given dependencies. However, data used to score the characteristics can be uncertain or even completely unknown. Therefore, it would be meaningful to evaluate sensitivity of the aggregated result, i.e. the maintainability, with respe...

In this paper fuzzy piecewise cubic interpolation is constructed for fuzzy data based on B-spline basis functions. We add two new additional conditions which guarantee uniqueness of fuzzy B-spline interpolation.Other conditions are imposed on the interpolation data to guarantee that the interpolation function to be a well-defined fuzzy function. Finally some examples are given to illustrate the...

Corresponding Author: Hamedoun Lamiae Laboratory LIROSA, Department of Computer Science, Faculty of Sciences, Abdelmalek Essaadi University, Mhannech II, BP: 2121, Tetouan, Morocco Tel: +212 662 12 32 33 Email: [email protected] Abstract: The present paper proposes a new Hybrid clustering Process based on Fuzzy Genetic System. The proposed Approach consists of two steps: (1) Using a method ...

Fuzzy methods in remote sensing have received growing interest for their particular value in situations where the geographical phenomena are inherently fuzzy. A fuzzy approach is investigated for the classi® cation of sub-urban land cover from remote sensing imagery and the evaluation of classi® cation accuracy. Under the fuzzy strategy, fuzziness, intrinsic to both remotely sensed data and gro...

Fuzzy set theory has been extensively applied to extend various data models and resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. To satisfy the need of modeling complex objects with imprecision and uncertainty, recently many researches have been concentrated on fuzzy semantic (conceptual) and object-oriented data models. This...

in this paper, we show that inverse data envelopment analysis (dea) models can be used to estimate output with fuzzy data for a decision making unit (dmu) when some or all inputs are increased and deficiency level of the unit remains unchanged.

This paper proposes a new double-private protocol for fuzzy matching and -fuzzy matching. Many works have been done for private database search in which the keyword that a user inputs for the search is concealed to the database owner. In these database searches, the exactly matched data are returned to the user. Fuzzy matching has been proposed in which not exactly matched but nearly matched da...

An event called prediction in a time series is more important for geophysics and economy problems. The time series data mining is a combination field of time series and data mining techniques. The historical data are collected which has follow the time series methodology, combine the data mining for preprocessing and finally apply the fuzzy logic rules to predict the impact of earthquake. Earth...

The main problem currently faced by market-oriented firms is not the availability of information (data), but the possession of appropriate levels of knowledge to take the right decisions. This is common background for firms. In this regard, marketing professionals and scholars highlight the necessity for knowing and explaining consumers’ behaviour patterns in an increasingly efficient way. The ...

Statistical data are frequently not precise numbers but more or less non-precise, also called fuzzy. Measurements of continuous variables are always fuzzy to a certain degree. Therefore histograms and generalized classical statistical inference methods for univariate fuzzy data have to be considered. Moreover Bayesian inference methods in the situation of fuzzy a-priori information and fuzzy da...