Hybrid journal (It can contain Open Access articles) ISSN (Print) 1756-7017 - ISSN (Online) 1756-7025 Published by Inderscience Publishers[447 journals]
Authors:Merouane Zoubeidi, Okba Kazar, Saber Benharzallah, Nadjib Mesbahi, Abdelhak Merizig, Djamil Rezki Pages: 1 - 35 Abstract: Nowadays, the distributed computing plays an important role in the data mining process. To make systems scalable it is important to develop mechanisms that distribute the workload among several sites in a flexible way. Moreover, the acronym ERP refers to the systems and software packages used by organisations to manage day-by-day business activities. ERP systems are designed for the defined schema that usually has a common database. In this paper, we present a collaborative multi-agent based system for association rules mining from distributed databases. In our proposed approach, we combine the multi-agent system with association rules as a data mining technique to build a model that can execute the association rules mining in a parallel and distributed way from the centralised ERP database. The autonomous agents used to provide a generic and scalable platform. This will help business decision-makers to take the right decisions and provide a perfect response time using multi-agent system. The platform has been compared with the classic association rules algorithms and has proved to be more efficient and more scalable. Keywords: enterprise resource planning; ERP; multi-agents system; MAS; data mining associate rules; JADE; WEKA Citation: International Journal of Information and Decision Sciences, Vol. 12, No. 1 (2020) pp. 1 - 35 PubDate: 2020-02-10T23:20:50-05:00 DOI: 10.1504/IJIDS.2020.104993 Issue No:Vol. 12, No. 1 (2020)
Authors:Yun-Ning Liu, Shiow-Yang Wu Pages: 36 - 74 Abstract: The analytic hierarchy process (AHP) is widely used in many multi-criteria decision-making problems and has been successfully applied to many practical cases. However, the AHP is time-consuming and the decision model is not agile enough for fast changing environment. To overcome this weakness, we develop a rule-based approach for dynamic AHP decision-making in changing environment. We analyse critical factors in the AHP decision process under uncertainty and propose to encode expert knowledge for change handling using event-condition-action rules. We propose a theorem and associated method to determine the change in ordering of decision alternatives based on event-condition-action rule-induced weight updates. We demonstrate the effectiveness of our approach using a case study of the supplier selection decision-making task of the steel and iron industry in Taiwan. The study shows that our mechanism can effectively reach the same level of decision quality as expert decision maker(s). Keywords: dynamic rule-based AHP; two criteria analysis; steel and iron industry; comparison matrix Citation: International Journal of Information and Decision Sciences, Vol. 12, No. 1 (2020) pp. 36 - 74 PubDate: 2020-02-10T23:20:50-05:00 DOI: 10.1504/IJIDS.2020.104994 Issue No:Vol. 12, No. 1 (2020)
Authors:Bagus Setya Rintyarna, Riyanarto Sarno, Chastine Fatichah Pages: 75 - 101 Abstract: Commonly, product review analysis includes extracting sentiment from product documents. The contextual aspect contained in a review document has potential to improve results obtained by the sentiment analysis task. In this regard, this paper proposes an approach that takes into account both local and global context. The main contribution of this work is threefold. Firstly, local context is defined and the graph-based word sense disambiguation (WSD) method is extended to assign the correct sense of a word in the context of a sentence. Secondly, global context is defined for addressing contextual issues related to the specific domain of a review document by using an improved SentiCircle-based method. Thirdly, a weighted mean-based strategy to determine sentiment value at document level is presented. Several experiments were conducted to assess the proposed method. Overall, the proposed method outperformed the baseline method in the metrics of precision, recall, F-measure and accuracy. Keywords: sentiment analysis; local context; global context; word sense disambiguation; WSD; SentiCircle; decision sciences Citation: International Journal of Information and Decision Sciences, Vol. 12, No. 1 (2020) pp. 75 - 101 PubDate: 2020-02-10T23:20:50-05:00 DOI: 10.1504/IJIDS.2020.104992 Issue No:Vol. 12, No. 1 (2020)
Authors:Aynalem Shita, Nand Kumar, Seema Singh Pages: 102 - 114 Abstract: This study analyses the impact of agricultural technology adoption on income inequality. Primary data has been collected from 400 sample households in Awi zone of Ethiopia through household survey during agricultural season of 2017/18. The collected data were analysed by using propensity score matching method. The estimated results revealed that adoption of agricultural technologies such as chemical fertiliser and improved seeds significantly increase total household income but worsen income distribution. After adoption of agricultural technologies, income inequality measured by Gini coefficient increased ranged from 0.047 to 0.087. Hence, the government and other concerned authorities should exert more efforts in order to enhance technology adoption status of the poor households by increasing their accessibility for extension and credit services. Keywords: technology adoption; income inequality; propensity score matching; Ethiopia Citation: International Journal of Information and Decision Sciences, Vol. 12, No. 1 (2020) pp. 102 - 114 PubDate: 2020-02-10T23:20:50-05:00 DOI: 10.1504/IJIDS.2020.105013 Issue No:Vol. 12, No. 1 (2020)
Hybrid journal (It can contain Open Access articles)
[447 journals]
