在印度尼西亚的专利申请评估中应用 IROC 方法:与 MAGIQ 和 AHP 的比较

Erlin Windia Ambarsari, Vierhan Rahman, Wahyu Nur Cholifah
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引用次数: 0

摘要

本研究在多标准决策(MCDM)框架内,将改进排序中心法(IROC)应用于印度尼西亚的专利申请流程。该研究评估了专利评估中的四个主要要素:"专利描述"、"说明"、"发明人所有权声明 "和 "权利转让声明"。初步结果表明,"专利说明 "非常重要,其他要素的重要性依次递减。评估还包括三个申请人备选方案,其中第二申请人最为有利。研究进一步将 IROC 结果与 MAGIQ 和 AHP 方法进行了对比。ROC 和 IROC 等基于等级的技术通常会产生相似的权重分布,而采用成对比较的 AHP 方法则经常出现差异。研究强调了 IROC 在确定标准权重、在 MAGIQ 框架内进行比较以及通过 AHP 进行验证方面的潜力。这些见解旨在加深我们对决策过程和分析的理解。将 IROC 结果与 MAGIQ 和 AHP 进行比较得出的结论表明,申请人的排名保持一致。因此,还需要进一步研究,以了解评价方法之间的差异及其影响,并探索专利申请过程中文化或地区因素的影响。
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Applying IROC Method in Patent Submission Evaluation in Indonesia: A Comparison with MAGIQ and AHP
This study applies the Improved Rank Order Centroid (IROC) to the Indonesian patent submission process within a Multi-Criteria Decision Making (MCDM) framework. The study evaluates four primary elements in patent assessment: "Patent Description," "Illustration," "Inventor's Ownership Statement," and "Rights Assignment Declaration." Preliminary findings indicate the importance of "Patent Description," followed by the other elements in descending order of significance. The evaluation also encompasses three applicant alternatives, with the Second Applicant emerging as the most favorable. The study further contrasts IROC outcomes with MAGIQ and AHP methodologies. While rank-based techniques like ROC and IROC generally produce similar weight distributions, the AHP method, which employs pairwise comparisons, often displays variations. The research underscores the potential of IROC in determining criterion weights, its comparison within the MAGIQ framework, and its validation through AHP. These insights aim to deepen our understanding of decision-making processes and analysis. The conclusion from comparing IROC results with MAGIQ and AHP indicates that the applicant rankings remain consistent. Therefore, further research is needed to understand the differences between evaluation methods and their impacts and explore the influence of cultural or regional factors in the patent submission process
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Combination of Grey Relational Analysis (GRA) and Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) in Determining the Best Staff Applying IROC Method in Patent Submission Evaluation in Indonesia: A Comparison with MAGIQ and AHP Decision Support System for Determining New Branch Location Applying the MAUT Method with ROC Weighting
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