Control Chart Patterns (CCPs) recognition is one the most important concepts in control chart application. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this study, a fuzzy rule-based system is developed for X ̅ control charts to prioritize the control chart causes based on the accumulated e...

fuzzy newton-cotes method for integration of fuzzy functions that was proposed by ahmady in [1]. in this paper we construct error estimate of fuzzy newton-cotes method such as fuzzy trapezoidal rule and fuzzy simpson rule by using taylor's series. the corresponding error terms are proven by two theorems. we prove that the fuzzy trapezoidal rule is accurate for fuzzy polynomial of degree one and...

ABSTRACT In gypsiferous soils, potassium (K) undergoes leaching, precipitation and other reactions that reduce its availability. This study aimed to evaluate the physicochemical behavior of K in soils Salahaddin province (Iraq), twelve locations chosen according variation their soil physical chemical properties. The adsorption phenomenon was described by using thermodynamic parameters quantity-...

Many compilers, synthesizers, and theorem provers rely on rewrite rules to simplify expressions or prove equivalences. Developing can be difficult: may subtly incorrect, profitable are easy miss, rulesets must rechecked extended whenever semantics tweaked. Large also challenging apply: redundant slow down rule-based search frustrate debugging. This paper explores how equality saturation, a prom...

This paper introduces knowledgebase approximation and fusion using association rule aggregation as a means to facilitate accelerated insight induction from high-dimensional disparate knowledgebases. There are two typical observations that make approximating knowledgebases of interest: (1) It is quite often insights can be derived based partial set the samples, not necessarily all them; (2) gene...