| other,19-3-P84-1064,ak | disposition </term> may be viewed as a <term> | proposition | </term> with <term> implicit fuzzy quantifiers | #15229 An idea which underlies the theory described in this paper is that a disposition may be viewed as aproposition with implicit fuzzy quantifiers which are approximations to all and always, e.g., almost all, almost always, most, frequently, etc. | |
| model,26-8-P84-1064,ak | tests , scores and aggregates the <term> | elastic constraints | </term> which are induced by p. The paper | #15369 In this approach to semantics, the meaning of a proposition, p, is represented as a procedure which tests, scores and aggregates theelastic constraints which are induced by p. | |
| other,15-4-P84-1064,ak | interpreted as the result of suppressing the <term> | fuzzy quantifier | </term> most in the <term> proposition </term> | #15271 For example, birds can fly may be interpreted as the result of suppressing thefuzzy quantifier most in the proposition most birds can fly. | |
| tech,15-6-P84-1064,ak | to as <term> explicitation </term> or <term> | restoration | </term> . <term> Explicitation </term> sets the | #15316 The process of transforming a disposition into a proposition is referred to as explicitation orrestoration. | |
| other,7-7-P84-1064,ak | sets the stage for representing the <term> | meaning | </term> of a <term> proposition </term> through | #15325 Explicitation sets the stage for representing themeaning of a proposition through the use of test-score semantics (Zadeh, 1978, 1982). | |
| tech,18-8-P84-1064,ak | proposition </term> , p , is represented as a <term> | procedure | </term> which tests , scores and aggregates | #15361 In this approach to semantics, the meaning of a proposition, p, is represented as aprocedure which tests, scores and aggregates the elastic constraints which are induced by p. | |
| tech,16-10-P84-1064,ak | reasoning </term> as well as on the <term> | management of uncertainty | </term> in <term> expert systems </term> . As | #15416 Syllogistic reasoning with dispositions has an important bearing on commonsense reasoning as well as on themanagement of uncertainty in expert systems. | |
| other,21-3-P84-1064,ak | viewed as a <term> proposition </term> with <term> | implicit fuzzy quantifiers | </term> which are approximations to all and | #15231 An idea which underlies the theory described in this paper is that a disposition may be viewed as a proposition withimplicit fuzzy quantifiers which are approximations to all and always, e.g., almost all, almost always, most, frequently, etc. | |
| other,8-6-P84-1064,ak | transforming a <term> disposition </term> into a <term> | proposition | </term> is referred to as <term> explicitation | #15309 The process of transforming a disposition into aproposition is referred to as explicitation or restoration. | |
| other,6-1-P84-1064,ak | Informally , a <term> disposition </term> is a <term> | proposition | </term> which is preponderantly , but not | #15176 Informally, a disposition is aproposition which is preponderantly, but not necessarily always, true. | |
| other,27-11-P84-1064,ak | concept which plays an important role in <term> | human cognition | </term> and is of relevance to <term> default | #15450 As a simple application of the techniques described in this paper, we formulate a definition of typicality -- a concept which plays an important role inhuman cognition and is of relevance to default reasoning. | |
| other,5-6-P84-1064,ak | women . The process of transforming a <term> | disposition | </term> into a <term> proposition </term> is | #15306 The process of transforming adisposition into a proposition is referred to as explicitation or restoration. |
