Prediction of oil-water two-phase flow pattern provides an effective solution for reducing oil production costs. In this research, the fuzzy inference system (FIS) is utilized to predict fluid patterns and establish a new adaptable prediction model. This paper takes No. 10 industrial white tap water as research objects simulate fluids, analyzes changes pipeline angle, total convective cut. A da...

The fuzziness and randomness are significant epistemic uncertainty within the qualitative categorization of two critical factors, frequency severity, which not fully considered in traditional risk matrix. This paper mainly proposes a cloud matrix method for assessment process safety considering expert elicitation. model is employed to provide mathematical expression linguistic variables by its ...

Autism spectrum disorder (ASD) is a chronic developmental impairment that impairs person's ability to communicate and connect with others. In people ASD, social contact reciprocal communication are continually jeopardized. People ASD may require varying degrees of psychological aid in order gain greater independence, or they ongoing supervision care. Early discovery results more time allocated ...

In this paper, an efficient and accurate method for tomatoes sorting will proposed. first we extract features from inputted tomato image and then accurate and appropriate decision on Classification tomatoes using fuzzy the mamdani inference, adaptive fuzzy neural network (anfis) methods for each of that image. In our proposed system adaptive fuzzy neural network (anfis) has less error and syste...

In this paper we extend the classical Lyapunov synthesis method to the domain of computing with words. This new approach is used to design fuzzy controllers. Assuming minimal knowledge about the plant to be controlled, the proposed method enables us to systematically derive the fuzzy rules that constitute the rule base of the controller. We demonstrate the approach by designing Mamdani-type and...

The results of studies are presented, the purpose which was to develop an algorithm for identifying information security threats in distributed multiservice networks that provide interaction regional government bodies, as well their communication with population region. relevance research topic is due a significant increase various types cyber attacks on computer public authorities and need lev...

A proposed architecture to design the optimal parameters of Membership Functions (MFs) Type-1 Fuzzy Logic Systems (T1FLSs) using Chicken Search Optimization (CSO) is applied three Controllers (FLCs) in this paper. Two types MFs are considered study: triangular and trapezoidal ones. The performance efficiency CSO algorithm particularly good when perturbations added during execution each control ...

insurance industry experts believe that fraud is a destructive disaster in the insurance industry. over the years, many methods have been used in the literature for fraud detection, one of which is expert systems. fraud detection expert systems are based on the knowledge of experts in the field of insurance identify fraud. judgment of experts is mostly based on evidence, documents, qualitative ...