201005561 六、發明說明： 【發明所屬之技術領域】 本發明係有關於一種期刊論文投稿決策支援系 統，尤其是指一種可輔助投稿者從大量的期刊中篩選 與排序出符合作者本身的投稿偏好與需求的決策支援 系統為首先創新運用者。 【先前技術】 按，一般在學術界的教授、老師、研究生或研發 粵 業界的開發人員等學者專家，在發明研究或探討一種 資訊、產品、現象或論點時’均會作成可作根據參考 的文書資料，而當這些資料、論文需被公開或發表時， 其學者專家會經由某些管道來發表，而投稿方式也是 其一；因此，當投稿者在投遞論文資料時，也會針對 特定期刊、出版社來做投遞動作，然而，每一期刊現 階段針對哪些論文有深入探討、研究或收錄都是投稿 者須注意的，因為這些因素會影響論文的投稿效果， ❹ 且當選擇特定一期刊投稿時，需等待審查、修訂或退 件等程序，因此，在一來一往的時間裡，有時會錯失 最佳的論文出刊時效。 緣是，本發明人有鑑於此，秉持多年對研發決策 支援系統技術的設計、製造及實際研究開發之經驗， 茲針對現有狀況之缺失予以研究改良，提供一種創新 的期刊論文投稿決策支援系統，以期改善現有之缺失 處。 【發明内容】 201005561 j上述目的特提供本剌—種_論文投稿決 糾技p±、統’為-支援研究人員或學者專家進行期刊 的決策輔助系統’目的在於幫助研究人員從多 ，化與數㈣大的期雜射，依投稿者的 需求進而 1過濾適合的㈣投稿候選名單，並提供與建置投 稿管理系統’用以協助作者的過去與現在的投稿狀態 與記錄管理’特別暇透過收集各使料的決策結果 ，计出選項及成功率之間的關鍵關係，使系統更療完 善0 爰是，本發明係有關於一種期刊論文投稿決策支 援系:統’主要由決策因子筛選子系統、論文投稿決策 支杈子系統及決策模式驗證子系統所構成，利用決策 因子篩選子系統中的線上問卷模組進行可導致結果的 因素蒐集，並經由統計分析結果而儲存至因子權重模 式庫與期刊資料庫中，再藉由外部提供的期刊資料 庫，以配合論文投稿決策支援子系統來辅助投稿者進 行投稿優先排序；而決策模式驗證子系統將透過系統 的使用者，來對投稿決策所採用的模式與決策因子權 重進行後續驗證，以及逐漸修正決策模式，以希冀能 持續演進獲得最新與高信度的決策計算模式與決策2 子權重，進而有效地從大量的期刊中篩選與排序出符 合論文作者的投稿偏好與需求，以減少作者於篩選適 合的期刊時所花費的時間。 、 【實施方式】 為令本發明所運用之技術内容、發明目的及其達 201005561 成之功效有更完整且清楚的揭露，茲於下詳細說明 之，並請一併參閱所揭之圖式及圖號： 首先，請參閱第一圖所示，係為本發明期刊論文 投稿決策支援系統整體示意圖，該期刊論文投稿決策 支援系統主要包含有： 一決策因子篩選子系統（1 )，其為設在網路線上的 問卷模組系統，藉以進行蒐集可導致投稿結果的因 素，並經由敍述、推論統計分析及加值後的分析結果 〇 建置成與決策有關的模式與法則，而儲存至因子權重 模式庫（11)與期刊資料庫（12)中； 一外部資源（2)，為其可以網路與決策因子篩選子 系統（1)連結的外部相關資料庫； 一論文投稿決策支援子系統（3 )，為連結決策因子 篩選子系統（1)的因子權重模式庫（11)與内部的期刊 資料庫（12)的資訊，以協助投稿者及單一事件進行決 策分析及投稿優先排序；及 φ 一決策模式驗證子系統（4)，為採用的因子權重模 式庫（11)與決策因子權重進行後續驗證與更新，以讓 系統管理者逐漸修正決策因子篩選子系統（1)中因子 權重模式庫（11)的資訊者。 請再一併參閱第一〜四圖所示，該期刊論文投稿 決策支援系統主要分為決策因子篩選子系統（1)、外部 資源（2)、論文投稿決策支援子系統（3)及決策模式驗 證子系統（4);其決策因子篩選子系統（1)主要提供決 策因子篩選的功能，並可與其他子系統〔論文投稿決 201005561 桌支援子系統（3)及決策模式驗證子系統（4)〕整合作 業，如第二圖所不，為論文投稿決策支援子系統（幻 的上游子系統；其係利用基本決策因子 模組（13)與ΑΗΡ(層級分析法）決策因子線上問卷模組 (14)，從學者專豕蒐集有關因不同身份別所導致的投 稿決策因子的偏好、有用性與平均情況，再把那些數 據傳送到關鍵決策因子權重計算模組（15)加以計算分 析，而得到決策因子權重係數（16)。 而該論文投稿決策支援子系統（3)為整個系統的 主體部分，分為情報（31)、設計（32)、選擇（33)及執 行（34)四部份，所提供的作業主要包括動態更新資料 進行決策輔助以及提供非動態更新資料進行決策輔 助、整合外部及其他子系統〔如決策因子篩選子系統 (1)與決策模式驗證子系統（4)，如第三圖所示〕；而上 述所述之情報（31)主要搜尋期刊資料庫（12)裡的資訊 來提供決策者的基本情報，而至於設計（32)階段則將 語文別（321)、期刊被收錄資料庫（322)、期刊單期論 文主題收錄量（323)、期刊類別（324)、期刊衝擊係數 (325)及期刊文章類別頻率等視為決策變數，經由因子 權重模式庫（11)裡的權重比率計算後，會提供投稿者 可行的方案選擇，當投稿者確認投稿標的期刊後，系 統會進一步提供投稿實施行動的相關資訊如期刊投稿 需知。 續請一併參閱第四圖所示，該決策模式驗證子系 統（4)將透過一般的投稿者，如期刊論文作者，來對投 201005561 稿決策所採用的模式與決策因子權重進行後續驗證， 系統管理者將逐漸修正決策模式，以能找出較佳的決 策計算模式與決策因子權重，有效地從大量的期刊中 時選與排序出符合論文作者的投稿偏好與需求，以減 少作者於篩選期刊時所花費的時間，及降低其論文因 投稿到不適合期刊所造成被退稿率與再投稿的往返時 間；内部介面包括易用度線上問卷調查模組（41)、有 用度線上問卷調查模組（42)及正確度線上問卷調查模 ® 組（43) ’藉由這三種模組進行科技接受度分析模組 後’透過分析處理結果而得到驗證統計報告。 而使用時請一併參閱第一〜四圖所示，其利用決 策因子篩選子系統（1)中的基本決策因子線上問卷調 查模組（13)與ΑΗΡ(層級分析法）決策因子線上問卷模 組（14) ’從學者專家蒐集有關因不同身份別所導致的 投稿決策因子的偏好、重要性與平均情況，線上問卷 調查的結果將儲存到問卷調查資料倉儲裡，並經由敲 β 述或推論統計分析可以將加值後的分析結果建置成與 決策有關的模式與法則’進而儲存至因子權重模式庫 (11)與期刊資料庫（12)。 其次’決策因子篩選子系統（1)係與一外部資源（2 ) 連結’而該外部資源（2)為國外英文期刊資料庫（21) 〔為 Thomson Inc·公司的 Web of Science (W0S)、J〇urnal CitationReport(JCR)資料庫者〕與國内中文期刊資料庫 (22)〔為華藝公司的中文電子期刊服務Chinese Electr〇nic Periodical Services (CEPS)或國家圖書館之中華民國期刊 201005561 笛φμ引系統〕^料庫者。爾後，投稿者經由論文投稿決 孩子系統（3)來辅助進行投稿，以可產生出期刊投 二=排序清單以供決策者參考。最後，決策模式驗 統⑷將透過—般的使用者，如期刊論文作者， 路试又稿决策所採用的模式與決策因子權重進行後續 ς皆系統管理者與研究人員將逐漸修正決策模式， 能找出較佳的決策計算模式與決策因子權重， 效地從大量的期刊中篩選與排序出符合論文作 =稿偏好與需求’以減少作者於筛選期刊時所花 Ρ ’間，及降低其論文因投稿到不適合期刊所造成 被退稿率與再投稿的往返時間。 :述之實_或圖式並非限定本發明之結構樣態 ^寸’任何所屬技術領域巾具有iff知識者之適當 變化或修飾’皆應視為不卿本發明之專利範嘴。 藉由上述可知’本發明之組成與使施 有下列幾項優點，如下： 1. 間化系統的操作程序。 2. 增加系統的穩定性。 3. 投稿決策方法的創新性。 4. 增加系統模組化及降低模組耦合度。 5·降低維護程序成本。 綵上所述，本發明實施例確能達到所預期之使用 功，’又其所揭露之具體構造，不僅未曾見諸於同類 產时:，亦未曾公開於申請前，誠已完全符合專利法 之規疋與要求’ |依法提$發明專利之巾請，懇請惠 201005561 予審查，並賜准專利’則實感德便。 201005561201005561 VI. Description of the invention: [Technical field to which the invention pertains] The present invention relates to a journal paper submission decision support system, and in particular to an assisting contributor who selects and sorts out a large number of journals in accordance with the author's own posting preferences and The decision support system for demand is the first to innovate the user. [Prior Art] According to scholars, professors, teachers, postgraduates, or developers of the R&D industry in the academic world, scholars and experts who are in the process of researching or discussing an information, product, phenomenon or argument will be made available for reference. Documentary materials, and when these materials or papers need to be published or published, their scholars and experts will publish them through certain channels, and the submission method is also one; therefore, when the contributors submit the papers, they will also target specific journals. Publishers come to do the delivery. However, it is important for contributors to pay attention to which papers are discussed, researched or included in each journal at this stage, because these factors will affect the contribution of the papers, and when selecting a specific journal. When submitting a manuscript, you need to wait for the process of reviewing, revising, or returning. Therefore, in the coming and going time, sometimes the best time for publication of the paper is missed. In view of this, the inventors of the present invention have been researching and improving the lack of existing conditions by providing years of experience in the design, manufacture and actual research and development of R&D decision support system technology, and providing an innovative journal paper submission decision support system. In order to improve the existing defects. [Summary of the Invention] 201005561 j The above-mentioned purpose is to provide the basics of the 剌 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ The number of (4) large-scale miscellaneous shots, according to the needs of the contributors, 1 filter the appropriate (4) submission candidate list, and provide and submit the submission management system 'to assist the author's past and present submission status and record management' Collecting the decision results of each make-up, and calculating the key relationship between the options and the success rate, so that the system is more complete. 爰 Yes, the present invention relates to a journal paper submission decision support system: the main 'screening by decision factors The subsystem, the paper submission decision support subsystem and the decision mode verification subsystem are composed, and the online questionnaire module in the decision factor screening subsystem is used to collect the factors that can lead to the result, and is stored in the factor weight mode through the statistical analysis result. In the library and journal database, the journal database is provided by externally to support the paper submission decision support subsystem. To assist the contributors in prioritizing submissions; and the decision-mode verification subsystem will use the users of the system to follow-up verification of the patterns and decision-factor weights used in the submission decision, and gradually correct the decision-making model in the hope that it will continue to evolve. The latest and high-confidence decision-making calculation models and decision-making 2 sub-weights, and effectively filter and sort out a large number of journals in line with the author's submission preferences and needs, to reduce the time spent by the author in screening suitable journals. [Embodiment] For a more complete and clear disclosure of the technical content, the purpose of the invention and the effect of the invention, the invention will be described in detail below, and please refer to the disclosed drawings and Figure: First, please refer to the first figure, which is the overall schematic diagram of the journal paper submission decision support system. The journal paper submission decision support system mainly includes: a decision factor screening subsystem (1), which is designed The questionnaire module system on the Internet line collects the factors that can lead to the submission result, and stores the factors and rules related to decision-making through narrative, inferential statistical analysis and post-value analysis results, and stores them into factors. The weight pattern library (11) and the journal database (12); an external resource (2), an external related database for which the network and decision factor screening subsystem (1) can be linked; a paper submission decision support subsystem (3) to link the decision factor screening subsystem (1) factor weight model library (11) with the internal journal database (12) to assist the contributors and Single event for decision analysis and submission prioritization; and φ a decision pattern verification subsystem (4) for subsequent verification and update of the used factor weight pattern library (11) and decision factor weights to allow system administrators to gradually correct decisions The information of the factor weight pattern library (11) in the factor screening subsystem (1). Please refer to the first to fourth figures together. The journal paper submission decision support system is mainly divided into decision factor screening subsystem (1), external resources (2), paper submission decision support subsystem (3) and decision mode. Verification subsystem (4); its decision factor screening subsystem (1) mainly provides the function of decision factor screening, and can be combined with other subsystems [ paper submissions 201005561 table support subsystem (3) and decision mode verification subsystem (4 )] Integration work, as shown in the second figure, for the paper submission decision support subsystem (the magical upstream subsystem; it uses the basic decision factor module (13) and ΑΗΡ (hierarchical analysis method) decision factor online questionnaire module (14) From the scholars' collection, the preference, usefulness and average of the submission decision factors caused by different identities are collected, and then the data is transmitted to the key decision factor weight calculation module (15) for calculation and analysis. Decision factor weighting factor (16). The paper submission decision support subsystem (3) is the main part of the whole system, which is divided into intelligence (31), design (32), and choice ( 33) and implementation (34) four parts, the main tasks provided include dynamic update of data for decision assistance and provision of non-dynamic update data for decision assistance, integration of external and other subsystems (such as decision factor screening subsystem (1) and The decision mode verification subsystem (4), as shown in the third figure]; and the above-mentioned information (31) mainly searches the information in the journal database (12) to provide the basic information of the decision maker, and as for the design (32) The stage is regarded as the language (321), the journal index (322), the journal subject number (323), the journal category (324), the journal impact coefficient (325), and the journal article category frequency. The decision variables, after being calculated by the weight ratio in the factor weight pattern library (11), will provide the candidate with a feasible solution choice. When the contributor confirms the journal of the target, the system will further provide relevant information for the submission implementation action, such as journal submission. Continuation Please refer to the fourth figure. The decision mode verification subsystem (4) will vote for 20100556 through general contributors, such as journal authors. 1 The model adopted by the draft decision and the decision factor weights are subsequently verified. The system administrator will gradually modify the decision mode to find the better decision calculation mode and decision factor weight, and effectively select and sort from a large number of journals. In accordance with the author's submission preferences and needs, to reduce the time spent by the author in screening journals, and to reduce the round-trip time of the rejection and re-submission of the paper due to submission to the unsuitable journal; the internal interface includes ease of use Online Questionnaire Module (41), Usefulness Online Questionnaire Module (42) and Correctness Online Questionnaire Model Group (43) 'After these three modules are used for technology acceptance analysis module' The result is a verified statistical report. When using, please refer to the first to fourth pictures, which use the decision factor to screen the basic decision factors in the subsystem (1). Online questionnaire module (13) and ΑΗΡ (hierarchical analysis method) decision factor online questionnaire model Group (14) 'Collecting the preference, importance and average of the submission decision factors caused by different identities from scholars and experts, the results of the online questionnaire survey will be stored in the questionnaire data warehousing, and the statistics will be calculated by inference or deduction. The analysis can be used to build the value-added analysis results into decision-related patterns and rules' and then store them in the factor weight model library (11) and the journal database (12). Secondly, the 'decision factor screening subsystem (1) is linked to an external resource (2) and the external resource (2) is the foreign English journal database (21) [Thomson Inc.'s Web of Science (W0S) , J〇urnal CitationReport (JCR) database] and domestic Chinese journal database (22) [Chinese Electr〇nic Periodical Services (CEPS) for Huayi Company or National Library of the Republic of China Journal 201005561 Flute φμ cited system] ^ material library. Later, contributors contribute to the submission of the children's system (3) through the submission of papers, so that the journal can be used to produce a list of rankings for decision makers. Finally, the decision-making model (4) will be followed by the general user, such as the journal author, the model and the decision-making factor weights used in the road test and the decision-making, and the system administrators and researchers will gradually correct the decision-making mode. Find out the better decision-making calculation mode and decision-making factor weights, and effectively filter and sort out the papers from the large number of journals = draft preference and demand' to reduce the author's spending in screening journals, and reduce it. The round-trip time of the re-submission rate and re-submission of the paper due to submission to the journal. The description of the present invention is not intended to limit the structure of the present invention. Any suitable change or modification of the technical field of the present invention should be considered as a patent for the invention. From the above, it can be seen that the composition of the present invention and the following advantages are obtained as follows: 1. The operation procedure of the inter-system. 2. Increase the stability of the system. 3. Innovation in submission decision-making methods. 4. Increase system modularity and reduce module coupling. 5. Reduce the cost of maintenance procedures. As described in the color, the embodiments of the present invention can achieve the expected use of the work, and the specific structure disclosed therein has not only been seen in the same production time: nor has it been disclosed before the application, and has completely complied with the patent law. The rules and requirements ' | legally claimed $ invention patent towel, please please 201005561 for review, and grant the patent 'the real sense of virtue. 201005561
【圖式簡單說明】 第一圖： 本發明之整體架構圖 第二圖： 本發明之決策因子篩選子系統架構圖 第三圖： 本發明之論文投稿決策支援子系統流程 第四圖： 本發明之決策模式驗證子系統架構圖 【主要元件符號說明】 (1) 決策因子篩選子系統 (11) 因子權重模式庫 (12) 期刊資料庫 (13) 基本決策因子線上問卷調查模組 (14) ΑΗΡ決策因子線上問卷模組 (15) 關鍵決策因子權重計算模組 (16) 決策因子權重係數 (2) 外部資源 (21) 英文期刊資料庫 (22) 中文期刊資料庫 (3) 論文投稿決策支援子系統 (31) 情報 (32) 設計 (321) 語文別 (322) 期刊被收錄資料庫 (323) 期刊單期論文主題收錄量 (324) 期刊類別 (325) 期刊衝擊係數 (33) 選擇 201005561BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an overall structural diagram of the present invention. FIG. 2 is a schematic diagram of a decision factor screening subsystem of the present invention. FIG. 3 is a flowchart of the present invention. Decision Mode Verification Subsystem Architecture Diagram [Key Component Symbol Description] (1) Decision Factor Screening Subsystem (11) Factor Weight Model Library (12) Journal Database (13) Basic Decision Factor Online Questionnaire Module (14) ΑΗΡ Decision Factor Online Questionnaire Module (15) Key Decision Factor Weight Calculation Module (16) Decision Factor Weight Coefficient (2) External Resources (21) English Journal Database (22) Chinese Journal Database (3) Paper Submission Decision Support System (31) Intelligence (32) Design (321) Language (322) Journals included in the database (323) Periodicals of the papers (324) Journal category (325) Journal impact coefficient (33) Select 201005561
(34) 執行 (4) 決策模式驗證子系統 (41) 易用度線上問卷調查模組 (42) 有用度線上問卷調查模組 (43) 正確度線上問卷調查模組 11(34) Execution (4) Decision Mode Verification Subsystem (41) Ease of Use Online Questionnaire Module (42) Usefulness Online Questionnaire Module (43) Correctness Online Questionnaire Module 11