a Record control number 100526432

a ISSN 1024-123X

a Original cataloging agency NEU GrandLibrary

a Language code of text/sound track or separate title eng

a Classification number TK5101

b Item number .C74 2014

a Personal name Abiyev, Rahib H.,

h Medium Electronic Document

a Title Credit Rating Using Type-2 Fuzzy Neural Networks.

c Statement of responsibility, etc Rahib H. Abiyev.

b Name of publisher, distributor, etc Hindawi Publishing Corporation.

c Date of publication, distribution, etc 2014.

a General note Rahib H. Abiyev, “Credit Rating Using Type-2 Fuzzy Neural Networks,” Mathematical Problems in Engineering, vol. 2014, Article ID 460916, 8 pages, 2014. doi:10.1155/2014/460916

a Summary, etc Nowadays various new technologies such as artificial neural networks, genetic algorithms, and decision trees are used for modelling of credit rating. This paper presents design of credit rating model using a type-2 fuzzy neural networks (FNN). In the paper, the structure of the type-2 FNN is designed and its learning algorithm is derived. The proposed network is constructed on the base of a set of fuzzy rules that includes type-2 fuzzy sets in the antecedent part and a linear function in the consequent part of the rules. A fuzzy clustering algorithm and gradient learning algorithm are implemented for generation of the rules and identification of parameters. Effectiveness of the proposed system is evaluated with the results obtained from the simulation of type-2 FNN based systems and with the comparative simulation results of previous related models. [ABSTRACT FROM AUTHOR] . Copyright of Mathematical Problems in Engineering is the property of Hindawi Publishing Corporation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

a Topical term or geographic name as entry element Credit ratings

a Topical term or geographic name as entry element Fuzzy neural networks

a Topical term or geographic name as entry element Near East University Article

a Topical term or geographic name as entry element Yakın Doğu Üniversitesi Makale

a Main entry heading Mathematical Problems in Engineering

x International Standard Serial Number 1024123X

g Relationship information 2014, p1-8.

h Physical description 8p

u Uniform Resource Identifier http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1155/2014/460916