The task of planning and managing urban public transport systems, such as bus networks, is a relevant problem with several approaches proposed in the literature. In this article, we focus on the specific task of reallocating buses from different lines of a previously planned system in case of restrictions regarding the breakdown of vehicles and/or absent drivers. For this purpose, we present a ...

Purpose – This paper aims to propose a novel computational framework called EvoPOL (EVOlving POLicies) to support governmental policy analysis in restricting recruitment of smokers. EvoPOL is a fuzzy inference-based decision support system that uses an evolutionary algorithm (EA) to optimize the if-then rules and its parameters. The performance of the proposed method is compared with a fuzzy in...

Plant monitoring and diagnosis are usually integrated as one process to detect and isolate suspicious symptoms and use these to identify the root cause of the failure [1, 2]. The research reported here enables a new plant monitoring and diagnosis framework that employs multiple fuzzy rule-based decision-support system at different diagnosing stages. By employing fuzzy sets and by constructing a...

Decision support system (DSS) is an approach to have a smart and sustainable management of facilities for monitoring, predicting controlling sections. The mentioned platform can be useful in operation complex like the water treatment plant (WTP). This study proposes adaptive neuro-fuzzy inference (ANFIS) prediction energy consumption outlet turbidity according inlet ferric chloride as coagulant...

This paper is on the suitability ofusing Fuzzy Cognitive Mapping technique (FCM) along with Fuzzy inference system(FIS),for the diagnosis of human disease.The diagnosis is based on the symptoms and the biochemical analysis of blood.Health care professionals use symptoms and signs as clues that can help to determine the most likely diagnosis when illness is present..Biochemistry involves in the ...

Manufacturing flexibility is the ability of the system to adapt to changes. Manufacturing flexibility is a difficult to quant ify concept. To assist managers in better achieving a flexible enterprise, a model on the basis of fuzzy logic is purposed to provide a means of measuring how flexible an enterprise is. In this approach, the performance ratings and importance weights of different flexibi...

This study is intended to improve the lack of recruitment processes as well as reduce individual senses of supervisory level by fuzzy logic and Analytic Hierarchy Process methods. This study tries to identify appropriate personality traits and key professional skills through the information statistics and analysis of Analytic Hierarchy Process in order to expect the recruitment process be more ...

Fraud is causing huge losses to our financial world. This work describes the use of a committee decision system using genetic programming to evolve fuzzy logic rules capable of detecting suspicious home insurance claims. Details of the evolutionary-fuzzy system, the committee decision maker and the data preprocessing are provided. Finally, a series of experiments are described, showing that the...

The paper presents the research undertaken for extending the functionality of a regular fuzzy multi-input decision support system through the application of basic neutrosophy principles. The application is designed and simulated using tools already available for the fuzzy implementation, adapted to the requirements of the neutrosophic extension. The results show an increase in the decision clas...