Sentence examples for deal reasoning from inspiring English sources

Exact(3)

According to several people briefed on the investigation, the F.T.C. has been leaning toward opposing the deal, reasoning that it would substantially diminish competition in the nascent market for advertising on mobile phones.

One Yankees official questioned the wisdom of that deal, reasoning that the Yankees would be giving up prospects the caliber of Benitez, but would receive a less accomplished pitcher, Rodriguez, in return.

The judge threw out a settlement reached between the SEC and Citigroup, over Citi's failure to disclose its interest in a mortgage-bond deal, reasoning that permitting defendants to settle without admitting or denying the allegation, "deprives the court of even the most minimal assurance that the…relief it is being asked to impose has any basis in fact".

Similar(57)

Compared to neural networks, fuzzy logic offers better insights into the forecasting model, and they can form a multivalued logic to deal with reasoning that is approximate rather than precise (Karlaftis and Vlahogianni 2011).

Fuzzy logic, on the other hand, is a form of multi-valued logic that deals with reasoning that is approximate rather than precise.

He used bargaining-table dramatics and back-channel dealing, cool reasoning and threats, oratory and his familiarity with the thinking of white businessmen.

Ontologies are becoming the preferred way of representing, dealing and reasoning with large volumes of information in several domains.

This paper deals with reasoning about designs based on their internal structures in the form of attributed hypergraphs.

It uses the terminology of Bayesian transfer learning, one of many domains dealing with reasoning as coherent knowledge processing.

Ontologies are gaining popularity in many domains as a way of representing, dealing and reasoning with large volumes of information, and they are starting to play a major role in computational science applications, e.g. in biomedical studies.

Fuzzy logic was introduced in 1965 by Zadeh [ 41], it deals with reasoning that is approximate rather than fixed and exact.

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