{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T20:06:52Z","timestamp":1770581212006,"version":"3.49.0"},"reference-count":43,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2017,7,1]],"date-time":"2017-07-01T00:00:00Z","timestamp":1498867200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2017,7]]},"abstract":"<jats:p>\n                    Traditional multiple deferred state sampling plan by attribute is a plan with crisp parameter. In this plan, both the current lot information and the future successive lots information are utilised on sentencing the current lot. In the present paper, firstly the authors propose a fuzzy multiple deferred state (FMDS) sampling plan by attribute when the fraction of defective items (\n                    <jats:italic>p<\/jats:italic>\n                    ) is a fuzzy number. Then the proposed plan is developed to the state where the inspection is not perfect. Since\n                    <jats:italic>p<\/jats:italic>\n                    is assumed to be imprecise, the fuzzy probability theory is used to plot the operating characteristic (OC) curve of the proposed plan. It was seen that the OC curve of the proposed plan has upper and lower bounds (say FOC band). Some practical examples are given to make more realization. Finally, it was made a comparison between FMDS(0,1,2)-plans with and without the inspection errors (type 1 and 2 errors). The obtained results showed that the inspection errors have a negative influence on the accuracy and performance of the FOC band of the proposed plan.\n                  <\/jats:p>","DOI":"10.3233\/jifs-161912","type":"journal-article","created":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T11:52:18Z","timestamp":1498218738000},"page":"503-514","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Fuzzy multiple deferred state attribute sampling plan in the presence of\u00a0inspection\u00a0errors"],"prefix":"10.1177","volume":"33","author":[{"given":"Robab","family":"Afshari","sequence":"first","affiliation":[{"name":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran"}]},{"given":"Bahram","family":"Sadeghpour Gildeh","sequence":"additional","affiliation":[{"name":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran"}]},{"given":"Majid","family":"Sarmad","sequence":"additional","affiliation":[{"name":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran"}]}],"member":"179","published-online":{"date-parts":[[2017,7]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/01966324.2015.1086708"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.05.025"},{"issue":"2","key":"e_1_3_1_4_2","first-page":"47","article-title":"Acceptance single sampling plan with fuzzy parameter","volume":"8","author":"Baloui Jamkhaneh E.","year":"2011","unstructured":"Baloui JamkhanehE., Sadeghpour GildehB. and YariG., Acceptance single sampling plan with fuzzy parameter, Iranian Journal of Fuzzy Systems8(2) (2011), 47\u201355.","journal-title":"Iranian Journal of Fuzzy Systems"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-010-0579-6"},{"issue":"11","key":"e_1_3_1_6_2","first-page":"1578","article-title":"Acceptance double sampling plan using fuzzy poisson distribution","volume":"16","author":"Baloui Jamkhaneh E.","year":"2012","unstructured":"Baloui JamkhanehE. and Sadeghpour GildehB., Acceptance double sampling plan using fuzzy poisson distribution, World Applied Sciences Journal16(11) (2012), 1578\u20131588.","journal-title":"World Applied Sciences Journal"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-120684"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.1981.11980980"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-86786-6"},{"key":"e_1_3_1_10_2","volume-title":"Fuzzy probability and statistics","author":"Buckley J.J.","year":"2006","unstructured":"BuckleyJ.J., Fuzzy probability and statistics, Springer-Verlag, Berlin Heidelberg, 2006."},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.1975.11980660"},{"issue":"7","key":"e_1_3_1_12_2","first-page":"359","article-title":"A class of single sampling plans based on fuzzy optimization","volume":"37","author":"Chakraborty T.K.","year":"1992","unstructured":"ChakrabortyT.K., A class of single sampling plans based on fuzzy optimization, Quality Control and Applied Statistics37(7) (1992), 359\u2013362.","journal-title":"Quality Control and Applied Statistics"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/10170660309509218"},{"key":"e_1_3_1_14_2","volume-title":"Proceedings of International Conference on Business and Information Management","author":"Chen T.T.","year":"2008","unstructured":"ChenT.T., HuangC.P. and LienS.Y., Dodge-Roming rectifying single sampling plans based on inspection error. 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