By Rafael Alejandro Espín Andrade, Eduardo Fernández, Erick González (auth.), Rafael Espin, Rafael Bello Pérez, Angel Cobo, Jorge Marx, Ariel Racet Valdés (eds.)
The ebook Soft Computing for company Intelligence is the impressive output of a software in accordance with the assumption of joint trans-disciplinary learn as supported via the Eureka Iberoamerica community and the college of Oldenburg.
It includes twenty-seven papers allotted to 3 sections: delicate Computing, Business Intelligence and information Discovery, and Knowledge administration and choice Making. even though the contents contact various domain names they're related in as far as they keep on with the BI precept “Observation and research” whereas holding a realistic orientated theoretical eye on sound methodologies, like Fuzzy good judgment, Compensatory Fuzzy good judgment (CFL), tough units and different tender computing elements.
The booklet tears down the conventional concentrate on enterprise, and extends company Intelligence options in a powerful approach to a vast variety of fields like drugs, surroundings, wind farming, social collaboration and interplay, automobile sharing and sustainability.
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Extra info for Soft Computing for Business Intelligence
8 Concluding Remarks This chapter introduced new fuzzy inference systems based on Compensatory Fuzzy Logic: a quartet of operators, where c, d, o and n are the operators of the Compensatory Logic and a fuzzy implication operator. Some properties of CFL recommend the study of inference in its framework; see : • Their logic operators seem to be more adequate to model human thinking, according to some experiments . • The truth values of the composed predicates can be interpreted semantically by themselves, because their operators of conjunction and disjunction are idempotent and continuous.
The first kind of problems is better answered by optimization methods, finding local maximums. The second finds solution, using any meta-heuristic for obtaining all predicates with good truth values. The way of knowledge discovery from hypotheses shall be illustrated on an example of Mexican economy. Example 2: The following hypotheses can be enunciated: If the time t after the moment is short, Gross Domestic Product (GDP) is big, the value of Mexican Peso is good, and also inflation, then inflation at the moment + will be good (Enough Condition for future inflation).
An empirical analysis of fuzzy transitivities in Decision Making. In: VIII SIGEF Congress Proceedings, pp. 129–133 (2001) 22. : Constructing reciprocal and stable aggregation operators. In: Proceedings AGOP, Alcala de Henares, pp. 73–78 (2003) 23. : Fuzzy logics based on (0, 1)-continuous uninorms. Springer (2006) 24. : Rough sets theory for multicriteria decision analysis. European Journal of Operational Research 129, 1–47 (2001) 25. : Rough sets methodology for sorting problems in presence of multiple attributes and criteria.