From interval-valued data to general type-2 fuzzy sets

Wagner, Christian, Miller, Simon, Garibaldi, Jonathan M., Anderson, Derek T. and Havens, Timothy C. (2014) From interval-valued data to general type-2 fuzzy sets. IEEE Transactions on Fuzzy Systems, 23 (2). pp. 248-269. ISSN 1063-6706

Full text not available from this repository.


In this paper, a new approach is presented to model interval-based data using fuzzy sets (FSs). Specifically, we show how both crisp and uncertain intervals (where there is uncertainty about the endpoints of intervals) collected from individual or multiple survey participants over single or repeated surveys can be modeled using type-1, interval type-2, or general type-2 FSs based on zSlices. The proposed approach is designed to minimize any loss of information when transferring the interval-based data into FS models, and to avoid, as much as possible, assumptions about the distribution of the data. Furthermore, our approach does not rely on data preprocessing or outlier removal, which can lead to the elimination of important information. Different types of uncertainty contained within the data, namely intra- and inter-source uncertainty, are identified and modeled using the different degrees of freedom of type-2 FSs, thus providing a clear representation and separation of these individual types of uncertainty present in the data. We provide full details of the proposed approach, as well as a series of detailed examples based on both real-world and synthetic data. We perform comparisons with analogue techniques to derive FSs from intervals, namely the interval approach and the enhanced interval approach, and highlight the practical applicability of the proposed approach.

Item Type: Article
Additional Information: C. Wagner, S. Miller, J. Garibaldi, D.T. Anderson, T.C. Havens, From interval-valued data to general type-2 fuzzy sets, Fuzzy Systems, IEEE Transactions on, vol. 23, no. 2, pp. 248-269. ©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Survey data, zSlices, Uncertainty, Computing With Words, Type-2, Agreement, Interval Agreement Approach
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:
Depositing User: Wagner, Dr Christian
Date Deposited: 23 Jun 2015 12:31
Last Modified: 04 May 2020 16:45

Actions (Archive Staff Only)

Edit View Edit View