The rotation forest ensemble method using a genetic fuzzy rule-based system as a base learning algorithm was developed in Matlab environment. The method was applied to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions. The computationally intensive experiments were conducted aimed to compare the accuracy of...

In fuzzy data analysis, a simple correlation coefficient provides us with a good sense of linear relationship between two fuzzy attributes, while a partial correlation coefficient shows the relationship between two fuzzy attributes when the influences of other fuzzy attributes are partialed out from both of the two attributes. But, in some practical applications, we need to use the correlation ...

In a series of papers, we suggested non-statistical method for the detection structural breaks in time series. It is based on applications special fuzzy modeling methods, namely Fuzzy transform (F-transform) and selected methods Natural Logic (FNL). this paper, combine our with principles classical Chow test, which well-known statistical testing presence break. The idea to construct statistics ...

We compared the previous study about clustering welfare of Indonesian people using Fuzzy C-Means (FCM) approach to a recent study, Gaussian mixture model (GMM). Both which were soft clustering. The case analyzes by classifying 34 provincial data in Indonesia, based on eight indicator variables 2017, Central Statistics Agency had issued. FCM and GMM approaches determine better level accuracy Sil...

I. The need for comparative evaluation of performance of different systems of fuzzy connectives in soft computing applications This paper continues our work on developing new methods and tools for comparative assessment of the adequacy of diierent many-valued implication operators and other fuzzy connectives. To deal with the problem of selecting the optimal fuzzy logic connectives, new methods...

An automated labeling (AL) module has been developed to automate the extraction of bibliographic data (e.g., article title, authors, affiliation, abstract, and others) from online biomedical journals for the National Library of Medicine’s MEDLINE database. The AL module employs string matching, statistics, and fuzzy rule-based algorithms to identify segmented zones in an article’s HTML pages a...

This paper provides a new solution to the problem of estimating the yield curve from a sample of coupon bonds. Our approach builds on the work of McMulloch (1971, 1975) by using a new approach to formulate and estimate the discount function for US Government Issue Coupon Bonds. This new method uses fuzzy regression to estimate an arbitrary nonlinear function, rather than estimating a polynomial...

*Correspondence: [email protected] 1Department of Mathematics, Faculty of Mathematics, Statistics and Computer Sciences, Semnan University, Semnan, 35195-363, Iran Full list of author information is available at the end of the article Abstract In this paper, we give an upper bound for the Sugeno fuzzy integral of log-convex functions using the classical Hadamard integral inequality. We pr...

This paper introduces the reference theory and algorithm of text categorization by using fuzzy cognitive map(FCM), which is based on value inference and can be able to infer by combing rule and statistics. This method is flexible and robust, and we do not need train the corpus time after time,it is suitable to the text categorization of insufficiency training, new subject and multiclassification.