NDLI: Ordered fuzzy numbers in financial stock and accounting problems

Content Provider	IEEE Xplore Digital Library
Author	Kosinski, W. Chwastyk, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Polish-Japanese Inst. of Inf. Technol., Warsaw, Poland (Kosinski, W.) \|\| Fac. of Production Eng. & Logistics, Opole Univ. of Technol., Opole, Poland (Chwastyk, A.)
Abstract	Applicability of the fuzzy approach to problems in economics and finance is presented. One problem arrives when a comparison between mutually exclusive investment alternatives is performed using the internal rate of return (IRR). Another problem originating from administrating accounting, deals with the determination of an economic order quantity (EOQ) with imprecise and vague data. Financial stock time series are presented together with the so-called Japanese candlesticks. The model of Ordered Fuzzy Numbers, developed by the first author (W.K.) and his two co-workers is used. The present approach generalizes that developed within the model of Convex Fuzzy Numbers and stays outside the probabilistic one.
Sponsorship	IEEE
Starting Page	546
Ending Page	551
File Size	263611
Page Count	6
File Format	PDF
ISBN	9781479903481
DOI	10.1109/IFSA-NAFIPS.2013.6608459
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time series analysis Investment Method of moments Economics Optimization Polynomials Data models
Content Type	Text
Resource Type	Article

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