DocumentCode :
3166107
Title :
Ordered fuzzy numbers in financial stock and accounting problems
Author :
Kosinski, Witold ; Chwastyk, Anna
Author_Institution :
Dept. of Comput. Sci., Polish-Japanese Inst. of Inf. Technol., Warsaw, Poland
fYear :
2013
fDate :
24-28 June 2013
Firstpage :
546
Lastpage :
551
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.
Keywords :
accounting; investment; stock markets; time series; EOQ; IRR; Japanese candlesticks; accounting problems; convex fuzzy numbers; economic order quantity; economics; finance; financial stock time series; internal rate of return; mutually exclusive investment alternatives; ordered fuzzy numbers; Data models; Economics; Investment; Method of moments; Optimization; Polynomials; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
Type :
conf
DOI :
10.1109/IFSA-NAFIPS.2013.6608459
Filename :
6608459
Link To Document :
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