{"title":"An information delivery strategy for multi criteria reporting: a case study on bankruptcy prediction analysis","authors":"Aruldoss Martin, T. Lakshmi, V. Venkatesan","doi":"10.1504/IJMCDM.2015.071249","DOIUrl":null,"url":null,"abstract":"Reporting is very important in the enterprise information processes and it is very much essential for decision making. Finding the user's current requirements and preference and then providing information accordingly could be a challenging task. An efficient information delivery strategy should provide the suitable information to suitable user according to various criteria. The information which is customised based on the criteria should be delivered at the right time for decision making. Bankruptcy prediction analysis (BPA) consists of different number of users with requirement to different levels of information. The proposed information delivery strategy customises the information, resolves inconsistency and uncertainty issues and finds the suitable user to receive the information with respect to criteria using fuzzy analytic hierarchy process (fuzzy AHP). The different level user preference (most suitable user to least suitable user) has been identified according to the criteria using this strategy to deliver the multi criteria reporting.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"5 1","pages":"211-246"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2015.071249","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Multicriteria Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMCDM.2015.071249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 0
Abstract
Reporting is very important in the enterprise information processes and it is very much essential for decision making. Finding the user's current requirements and preference and then providing information accordingly could be a challenging task. An efficient information delivery strategy should provide the suitable information to suitable user according to various criteria. The information which is customised based on the criteria should be delivered at the right time for decision making. Bankruptcy prediction analysis (BPA) consists of different number of users with requirement to different levels of information. The proposed information delivery strategy customises the information, resolves inconsistency and uncertainty issues and finds the suitable user to receive the information with respect to criteria using fuzzy analytic hierarchy process (fuzzy AHP). The different level user preference (most suitable user to least suitable user) has been identified according to the criteria using this strategy to deliver the multi criteria reporting.
期刊介绍:
IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields