RU and (U,N)-implications satisfying Modus Ponens
نویسندگان
چکیده
منابع مشابه
Residual implications derived from uninorms satisfying Modus Ponens
Modus Ponens is a key property for fuzzy implication functions that are going to be used in fuzzy inference processes. In this paper it is investigated when fuzzy implication functions derived from uninorms via residuation, usually called RU implications, satisfy the modus ponens with respect to a continuous t-norm T , or equivalently, when they are T -conditionals. For RU -implications it is p...
متن کاملNaive Modus Ponens
In his [2011], Lionel Shapiro proposes a very interesting deflationist conception of logical consequence, according to which the logical-consequence predicate applying to sentences serves as a merely expressive device allowing us to talk in a generalising way about typically non-linguistic entailment facts (just as, according to a deflationist conception of truth, the truth predicate applying t...
متن کاملInstability, Modus Ponens and Uncertainty of Deduction
Considering the instability of nonlinear dynamics, the deductive inference rule Modus ponens itself is not enough to guarantee the validness of reasoning sequence in the real physical world, and from similar cause cannot gain similar result. Some kind of stability hypothesis should be added in order to draw meaningful conclusion. So the uncertainty of deductive inference appears the same as tha...
متن کاملAre Some Modus Ponens Arguments Deductively Invalid?
This article concerns the structure of defeasible arguments like: 'if Bob has red spots, Bob has the measles; Bob has red spots; therefore Bob has the measles.' The issue is whether such arguments have the form of modus ponens or not. Either way there is a problem. If they don't have the form of modus ponens, the common opinion to the contrary taught in leading logic textbooks is wrong. But if ...
متن کاملA Generalized Probabilistic Version of Modus Ponens
Modus ponens (from A and “if A then C” infer C; short: MP) is one of the most basic inference rules. The probabilistic MP allows for managing uncertainty by transmitting assigned uncertainties from the premises to the conclusion (i.e., from P (A) and P (C|A) infer P (C)). In this paper, we generalize the probabilistic MP by replacing A by the conditional event A|H . The resulting inference rule...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2016
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2016.01.003