A least-absolutes approach to multiple fuzzy regression

modeling is introduced and investigated for the case of crisp input - fuzzy

output data, by using the generalized Hausdorff-metric.

A comparative ...

A general method is proposed to construct fuzzy tests for testing statistical hypotheses about an unknown fuzzy parameter, when the data available are observations of a fuzzy random variable. The proposed method to construct ...

یک شیوه جدید برای برآورد ضرایب مدل رگرسیونی بر اساس روش کمترین مربعاتمعرفی شده است. در این شیوه، فرض میشود که داده های مشاهده شده و ضرایب مدل به صورت اعداد مبهم (اعداد فازی فاصله ای مقدار) باشند. روش بیان شده، در قالب یک ...

An approach to test the crisp statistical hypotheses upon the fuzzy test statistic is developed. The proposed approach is investigated for two cases: the case without nuisance parameter, and the case with a nuisance ...

The Goodman–Kruskal measure, which is a well-known measure of dependence for con-

tingency tables, is generalized to the case when the variables of interest are categorized by

linguistic terms rather than ...

This research aims at proposing a new method for discovering frequent temporal itemsets in continuous subsets of a dataset with quantitative transactions. It is important to note that although these temporal itemsets may ...