 SOFT COMPUTING IN ANALYTICS: HANDLING IMPRECISION AND UNCERTAINTY IN STRATEGIC DECISIONSChrister Carlsson
Fuzzy Economic Review, 2012, vol. XVII, issue 2, 3-21 Abstract: Analytics has a similar agenda as management science and is working with the same industrial and business context to support managerial planning, problem solving and decision making. Analytics has a broader scope in terms of methods – besides models and algorithms it also works with statistical methods and advanced technology for handling data, information and knowledge. Soft Computing builds on fuzzy sets theory, fuzzy logic, optimisation, neural nets, evolutionary algorithms, macro heuristics and approximate reasoning. Soft Computing is is focused on the design of intelligent systems to process uncertain, imprecise and incomplete information. Soft Computing methods applied to real-world problems offer more robust, tractable and less costly solutions than those obtained by more conventional mathematical techniques. Keywords: analytics; management science; soft computing; fuzzy real options (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:fzy:fuzeco:v:xvii:y:2012:i:2:p:3-21 Access Statistics for this article More articles in Fuzzy Economic Review from International Association for Fuzzy-set Management and Economy (SIGEF) Contact information at EDIRC. |
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