Scientific Research An Academic Publisher
OPEN ACCESS
Add your e-mail address to receive free newsletters from SCIRP.
Select Journal AA AAD AAR AASoci AAST ABB ABC ABCR ACES ACS ACT AD ADR AE AER AHS AID AiM AIT AJAC AJC AJCC AJCM AJIBM AJMB AJOR AJPS ALAMT ALC ALS AM AMI AMPC ANP APD APE APM ARS ARSci AS ASM BLR CC CE CellBio ChnStd CM CMB CN CRCM CS CSTA CUS CWEEE Detection EMAE ENG EPE ETSN FMAR FNS GEP GIS GM Graphene GSC Health IB ICA IIM IJAA IJAMSC IJCCE IJCM IJCNS IJG IJIDS IJIS IJMNTA IJMPCERO IJNM IJOC IJOHNS InfraMatics JACEN JAMP JASMI JBBS JBCPR JBiSE JBM JBNB JBPC JCC JCDSA JCPT JCT JDAIP JDM JEAS JECTC JEMAA JEP JFCMV JFRM JGIS JHEPGC JHRSS JIBTVA JILSA JIS JMF JMGBND JMMCE JMP JPEE JQIS JSBS JSEA JSEMAT JSIP JSS JSSM JST JTR JTST JTTs JWARP LCE MC ME MI MME MNSMS MPS MR MRC MRI MSA MSCE NJGC NM NR NS OALib OALibJ ODEM OJA OJAB OJAcct OJAnes OJAP OJApo OJAppS OJAPr OJAS OJBD OJBIPHY OJBM OJC OJCB OJCD OJCE OJCM OJD OJDer OJDM OJE OJEE OJEM OJEMD OJEpi OJER OJF OJFD OJG OJGas OJGen OJI OJIC OJIM OJINM OJL OJM OJMC OJMetal OJMH OJMI OJMIP OJML OJMM OJMN OJMP OJMS OJMSi OJN OJNeph OJO OJOG OJOGas OJOp OJOph OJOPM OJOTS OJPathology OJPC OJPChem OJPed OJPM OJPP OJPS OJPsych OJRA OJRad OJRD OJRM OJS OJSS OJSST OJST OJSTA OJTR OJTS OJU OJVM OPJ POS PP PST PSYCH SAR SCD SGRE SM SN SNL Soft SS TEL TI UOAJ VP WET WJA WJCD WJCMP WJCS WJET WJM WJNS WJNSE WJNST WJV WSN YM
More>>
Q. Song and B. S. Chissom, “Forecasting Enrollment with Fuzzy Time Series-Part I,” Fuzzy Sets and Systems, Vol. 54, No. 1, 1993, pp. 1-9. doi:10.1016/0165-0114(93)90355-L
has been cited by the following article:
TITLE: A New Bandwidth Interval Based Forecasting Method for Enrollments Using Fuzzy Time Series
AUTHORS: Hemant Kumar Pathak, Prachi Singh
KEYWORDS: Fuzzy Sets, Fuzzy Time Series, Fuzzy Logical Relations
JOURNAL NAME: Applied Mathematics, Vol.2 No.4, March 31, 2011
ABSTRACT: In this paper, we introduce the concept of (4/3)? bandwidth interval based forecasting. The historical enrollments of the university of Alabama are used to illustrate the proposed method. In this paper we use the new simplified technique to find the fuzzy logical relations.
Related Articles:
Fuzzy Time Series Forecasting Based On K-Means Clustering
Zhiqiang Zhang, Qiong Zhu
DOI: 10.4236/ojapps.2012.24B024 2,940 Downloads 5,167 Views Citations
Pub. Date: January 15, 2013
Weighted Time-Variant Slide Fuzzy Time-Series Models for Short-Term Load Forecasting
Xiaojuan Liu, Enjian Bai, Jian’an Fang
DOI: 10.4236/jilsa.2012.44030 3,577 Downloads 5,478 Views Citations
Pub. Date: November 28, 2012
Fuzzy δ*-Continuity and Fuzzy δ**-Continuity on Fuzzy Topology on Fuzzy Sets
Mohammed Salih Mahdy Hussan
DOI: 10.4236/apm.2013.31018 3,905 Downloads 6,054 Views Citations
Pub. Date: January 29, 2013
Recent Developments in Fuzzy Sets Approach in Option Pricing
Srimantoorao S. Appadoo, Aerambamoorthy Thavaneswaran
DOI: 10.4236/jmf.2013.32031 3,931 Downloads 7,032 Views Citations
Pub. Date: May 24, 2013
A Knowledge Measure with Parameter of Intuitionistic Fuzzy Sets
Zhenhua Zhang, Shenguo Yuan, Jing Zhang, Chao Ma, Jinhui Xu, Xiaolong Lin
DOI: 10.4236/am.2018.97060 590 Downloads 1,099 Views Citations
Pub. Date: July 31, 2018