Fuzzy uncertainty

Assessing ship collision risks considering human factors presents persistent challenges due to the multivariate uncertainties faced by seafarers. Therefore, this study proposes a fuzzy-logic-based method to model ship collision risks in an area considering human factors.

10p viohoyo 25-04-2024 6 2   Download

In this study it is interesting to study because of the fact that the scope of conditions is very limited, an obstacle in project management. In addition to overcome the uncertainty of time scheduling and project costs in the calculation of Fuzzy Logic is used.

9p longtimenosee07 29-03-2024 2 1   Download

In present study, the reverse logistics model of collecting EOL vehicles has been presented with taking into account the economic, social and environmental sustainability. In this regard, a mathematical model has been presented for understudy problem, which includes for planning of multi-period and multi-stage reverse logistics network of EOL vehicles.

19p longtimenosee07 29-03-2024 6 2   Download

The present research and model is aimed at presenting an integrated multi-objective optimal supply chain model of Sepah Bank's green supply chain in terms of model uncertainty using meta-heuristic algorithms and providing a suitable conceptual framework. In this regard, a multiobjective optimization model is presented and solved using fireworks algorithms based on Pareto Archive and NSGA-II. The green banking phenomenon has emerged with the same purpose in the banking system of the world and today it has made significant progress in theoretical and operational aspects.

11p longtimenosee07 29-03-2024 2 2   Download

In this study, we explore reseach methodologi, industry and the aspect of uncertainty. We make an analysis uncertainty for the topic, approach, model formulation and make comparison of uncertainty reseach area. The most used approach and method on uncertainty are Mixed Integer Linear Programing, mixed integer nonlinear Programing, Robust Fuzzy Stochastic Programming, and Improved kriging-assisted robust optimization method. Customer demand, total cost, product returns are the most widely researched aspects.

11p longtimenosee07 29-03-2024 2 2   Download

Ebook "Applied research in uncertainty modeling and analysis" is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part II (Chapters 5-8) reports on biomedical and chemical engineering applications.

547p loivantrinh 29-10-2023 3 2   Download

Ebook "Fuzzy expert systems and fuzzy reasoning" includes content: Introduction, rule based systems - overview; fuzzy logic, fuzzy sets, and fuzzy; numbers inference in an expert system I; combining uncertainties resolving contradictions - possibility and necessity, expert system shells and the integrated development environment, running and debugging expert systems II,...and other contents.

422p haojiubujain07 20-09-2023 3 2   Download

Ebook "Modern control theory" includes content: General characteristic of control systems, formal models of control systems, control for the given state, optimal control with complete information on the plant, parametric optimization, application of relational description of uncertainty, application of probabilistic descriptions of uncertainty, uncertain variables and their applications,... and other contents.

421p haojiubujain07 20-09-2023 7 4   Download

Ebook "Uncertainty and information - Foundations of generalized information theory" includes content: Introduction, classical possibility based uncertainty theory, classical probability based uncertainty theory, generalized measures and imprecise probabilities, special theories of imprecise probabilities.

518p haojiubujain07 20-09-2023 6 3   Download

This study aims to propose a solution to handle the uncertainty and imprecise knowledge associated with the collected data using Interval type-2 fuzzy inference system, or IT2FIS. IT2FIS has been shown to be capable of generalizing functional relationship between input and output while reducing computational complexity.

6p viannee 02-08-2023 5 4   Download

This paper represents superior properties of advanced control methods such as Fuzzy Logic, Neural network to PID controller for uncertainties systems to achieve good tracking response in real time. All three control methods are based on the feedback error signal that is then calculated on the processor through algorithms and outputting the optimal control signals.

7p vidoctorstrange 06-05-2023 10 4   Download

The thesis is structured as follows: Chapter 1 introduction; chapter 2 a review of fuzzy multicriteria analysis approaches; chapter 3 problem formulation and developments; chapter 4 pairwise comparison based multicriteria decision making under uncertainty; chapter 5 effective decision support for fuzzy multicriteria group decision making; chapter 6 a consensus based approach for multicriteria group decision making; chapter 7 risk-oriented decision making for multicriteria group decision making under uncertainty; chapter 8 hospital location evaluation and selection under uncertainty; chapter...

232p runthenight04 02-02-2023 5 2   Download

This paper proposed a T-S fuzzy model based adaptive fuzzy controller for the interior permanent magnet synchronous motors. Firstly, the T-S fuzzy model of the system is built based on the nonlinear dynamic model. Next, the adaptive fuzzy controller is designed to deal with the problems of system uncertainties and external disturbances.

5p vimelindagates 18-07-2022 2 2   Download

The proposed approach allows the representation, handling and utilisation of different levels of uncertainty in knowledge. This allows transformation-based fuzzy rule interpolation techniques to model and harness additional uncertain information in order to implement an effective fuzzy interpolative reasoning system.

17p guernsey 28-12-2021 14 0   Download

The hybrid distribution, other than joint probability (or possibility) distribution, has a couple of special normalization requirements that are order-dependent with respective to ‘‘addition” operation over random variable and ‘‘max’ operation over fuzzy variable. The derived sigma-max inference is applied to target recognition

17p guernsey 28-12-2021 10 0   Download

In many business processes, knowledge workers collect information and make decisions about business entities. Artifact-centric process (ACP) models have been proposed to represent such knowledge-intensive processes

18p guernsey 28-12-2021 9 1   Download

This paper investigates the issues of under-treatment and uncertainty condition of acute asthma cases in ED. A novel approach, known as the fuzzy logic principle is employed to determine the severity of acute asthma. The fuzzy set theory, known as Fuzzy Rule-based Expert System for Asthma Severity (FRESAS) determination is embedded into the expert system (ES) to assess the severity of asthma among patients in ED.

24p spiritedaway36 28-11-2021 12 1   Download

In this paper, a control algorithm for controlling the position of the EHA is designed. In this controller structure, the system uncertainties are lumped into two unknown time-varying functions. The boundary of one of the unknown functions is not available. An approximate technique is used to express the unknown function as a finite combination of basis function.

11p tunelove 12-06-2021 8 1   Download

In elaborationg upon the recent thought-provoking paper “Subjective probability in behavioral economics and finance: A radical reformulation” by H. Joel Jeffrey and Anthony O. Putman [5], we proceed to specify the calculus of their “probability (uncertainty) appraisals” as possiblity measures, i.e., the “radical” reformulation of the usual calculus of subjective probabilities is that of idempotent uncertainty...

12p angicungduoc9 04-01-2021 8 2   Download

Complex industrial systems often contain various uncertainties. Hence sophisticated fuzzy optimization (metaheuristics) techniques have become commonplace; and are currently indispensable for e ective design, maintenance and operations of such systems. Unfortunately, such state-of-the-art techniques suffer several drawbacks when applied to largescale problems.

18p nguathienthan9 08-12-2020 19 1   Download