A Non-numeric Approach to Uncertain Reasoning
نویسنده
چکیده
This paper presents a non-numeric approach to uncertain reasoning by extending the incidence calculus. In parallel to the well known fuzzy, belief/plausibility, probability, and necessity/possibility measures, the corresponding classes of non-numeric functions are examined. A method of constructing non-numeric functions is discussed using the notion of compatibility relations. Non-numeric functions are used to interpret uncertain reasoning by providing possible-worlds semantics for both qualitative and quantitative methods.
منابع مشابه
Comprehensive Decision Modeling of Reverse Logistics System: A Multi-criteria Decision Making Model by using Hybrid Evidential Reasoning Approach and TOPSIS (TECHNICAL NOTE)
In the last two decades, product recovery systems have received increasing attention due to several reasons such as new governmental regulations and economic advantages. One of the most important activities of these systems is to assign returned products to suitable reverse manufacturing alternatives. Uncertainty of returned products in terms of quantity, quality, and time complicates the decis...
متن کاملRobust stabilization of a class of three-dimensional uncertain fractional-order non-autonomous systems
This paper concerns the problem of robust stabilization of uncertain fractional-order non-autonomous systems. In this regard, a single input active control approach is proposed for control and stabilization of three-dimensional uncertain fractional-order systems. The robust controller is designed on the basis of fractional Lyapunov stability theory. Furthermore, the effects of model uncertai...
متن کاملJudgmental Reasoning for Expert Systems
We present a new system for plausible reasoning in expert systems. It is an extension of the Horn clause subset of first order logic, and is distinguished by its use of non-numeric certainties and the assignment of certainties to logical formulae rather than events. Model theoretic and ftxpoint semantics are sketched for this language. An implementation in the logic programming language Prolog ...
متن کاملMixed Qualitative/Quantitative Dynamic Simulation of Processing Systems
In this article the methodology proposed by Li and Wang for mixed qualitative and quantitative modeling and simulation of temporal behavior of processing unit is reexamined and extended to more complex case. The main issue of their approach considers the multivariate statistics of principal component analysis (PCA), along with clustered fuzzy digraphs and reasoning. The PCA and fuz...
متن کاملLPRPG-P: Relaxed Plan Heuristics for Planning with Preferences
In this paper we present a planner, LPRPG-P, capable of reasoning with the non-temporal subset of PDDL3 preferences. Our focus is on computation of relaxed plan based heuristics that effectively guide a planner towards good solutions satisfying preferences. We build on the planner LPRPG, a hybrid relaxed planning graph (RPG)–linear programming (LP) approach. We make extensions to the RPG to rea...
متن کامل