{"_buckets": {"deposit": "d9d1d7c1-c4d5-4855-9001-d360e51913b0"}, "_deposit": {"id": "3310", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3310"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3310", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Forecasting of Rice Production Using Fuzzy Time Series", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The forecasting of rice production isconsidered as one of the real world complexproblems due to its non-deterministic nature anduncertain behavior. Fuzzy time series relies onreal time fuzzy values for the input andprovidesmore accuracy in pattern and gives more accurateresult. In this paper, the system presents themethod to forecast of agricultural productionbased on fuzzy time series.The systemappliesforecasting technique using the fuzzy settheory and fuzzy time series.Trapezoidalmembership function is used to calculate the fuzzyset and the centroid method is used fordefuzzification module. To illustrate theforecasting process, the time series data of riceproduction in Bago Division is collected andforecast for the next year rice production in BagoDivision."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-19"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "215_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "136 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 136000.0, "url": {"url": "https://meral.edu.mm/record/3310/files/215_PDFsam_PSC_final proof.pdf"}, "version_id": "de3615f6-ba8f-4e1e-a4a1-29fc17de38a0"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eighth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Htwe, Thandar"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2017-12-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1073"}, "item_title": "Forecasting of Rice Production Using Fuzzy Time Series", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003310", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-19"}, "publish_date": "2019-07-19", "publish_status": "0", "recid": "3310", "relation": {}, "relation_version_is_last": true, "title": ["Forecasting of Rice Production Using Fuzzy Time Series"], "weko_shared_id": -1}