{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T03:26:17Z","timestamp":1648697177999},"reference-count":20,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Info. Tech. Dec. Mak."],"published-print":{"date-parts":[[2003,6]]},"abstract":"<jats:p> With the uncertain influential factors of demands and the lack of required historical data, demand estimation for new telecommunication services have generally relied just on marketing survey and analysis. However, the data collected from marketing survey are usually expressed in human linguistic forms and hence are fuzzy in nature. That means the estimation method derived from traditional sampling theory cannot fully represent such fuzzy data and thus biased consequences caused often. Therefore, in this study, to completely capture the uncertainty of the surveyed data, we adopt a series of analytical methods based on fuzzy set theory to construct a fuzzy estimation model. Based on the proposed model, a solution procedure is developed to aid users to acquire the demands of new telecommunication services. Finally, the solution procedure is employed to estimate demands of mobile phone service within one year in Taiwan with satisfactory results. <\/jats:p>","DOI":"10.1142\/s0219622003000653","type":"journal-article","created":{"date-parts":[[2003,5,26]],"date-time":"2003-05-26T08:20:29Z","timestamp":1053937229000},"page":"333-347","source":"Crossref","is-referenced-by-count":5,"title":["DEMANDS ESTIMATION OF NEW TELECOMMUNICATION SERVICES IN FUZZY ENVIRONMENT"],"prefix":"10.1142","volume":"02","author":[{"given":"LONG-SHUH","family":"LIN","sequence":"first","affiliation":[{"name":"Department of Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., 7F. No. 11, Lane 74 Hsin-Yi Road Sec. 4 Taipei 106, Taiwan, R. O. C."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","volume-title":"Analysis of Fuzzy Information \u2014 Mathematics and Logic","author":"Bezdek J. 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