This paper introduces the functional forms of some well-known regression models that take interval-valued data. The proposed methods are based on the function-on-function regression model, where both the response and predictor/s are functional. Through several Monte Carlo simulations and empirical ...
Generally speaking, interval-valued data arise due to one of the following two reasons: (i) imprecise observations of quantities, resulting in the translation of the measured value into an interval of possible values, and (ii) information aggregation. The latter situation usually arises when the ...
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We establish two-way analysis of variance (ANOVA) for interval-valued data. Each observation is assumed to be a compact convex interval, and the two-way ANOVA determines whether to reject null hypotheDOI: 10.1007/978-3-642-14746-3_59 被...
Interval-valued data Exchange rate forecast Fuzzy modeling 1Introduction Exchange rates play an important role in international trade and in economic competitiveness of a country because they influence the balance of payments. These rates also have a significant impact on production decision of firms, ...
Multi-source data is a comprehensive data type that combines multiple sources of information or datasets. Compared to point-valued data, interval-valued data provides a more accurate representation of the uncertainty and variability associated with objects. In practical situations, data obtained from mul...
For the purpose of controlling uncertain information when interval-valued data inevitably appear in the manufacturing or service processes, in this paper an interval-data analysis methodology is first applied. We construct Shewhart control charts whose control limits, consequently as interval numbers, are...
(iFRB) for ITS forecasting. iFRB is a fuzzy rule-based model with affine consequents which provide a nonlinear approach that naturally processes interval-valued data. It is suggested as empirical application the prediction of the main index of the Brazilian stock market, the IBOVESPA. Interval ...
When constructing the model of a word by collecting interval-valued data from a group of individuals, both interpersonal and intrapersonal uncertainties coexist. Similar to the interval type-2 fuzzy set (IT2 FS) used in the enhanced interval approach (EIA), the Cloud model characterized by only...
Interval-Valued Data Learning for Robustness of Energy Recovery Systems Computer Aided Chemical Engineering Volume 50, 2021, Pages 791-797 Purchase options CorporateFor R&D professionals working in corporate organizations. Academic and personalFor academic or personal use only. ...