This study aims to discuss a risk assessment of navigation safety for ferries. In this research, the factors (RFs) ferries are first investigated from relevant literature and ferry operational features. A fuzzy AHP (Analytic Hierarchical Process) approach is then proposed weight those RFs, after which continuous risk-matrix model developed determine RFs’ levels. Finally, validate practical appl...

Beginning with triangular fuzzy inputs representing fuzzy ratio judgments, we experiment with two procedures to obtain fuzzy relative priorities in the Analytic Hierarchy Process. We extend the simple geometric mean and simple normalized column sum methods with fuzzy arithmetic. When the pairwise comparisons are fully consistent the methods produce identical results, but they diverge in the pre...

Abstract Banks face a number of business risks on daily basis. Today, operational risk is dominant. The aim this paper to develop decision-making system when choosing method management by using the Analytical Hierarchy Process (the AHP method) and Fuzzy Analytic FAHP method). hierarchical process simple efficient in solving problems. final decision depends assessment set alternatives criteria. ...

Purpose The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders suppliers in the supply chain mega-projects. Design/methodology/approach By using an integrated (based on fuzzy analytic network process), are selected appropriate amounts allocated them Initially, hierarchical research method was introduced. Then, results reliability validity analysis mea...

This article presents a hierarchical process for multiobjective portfolio selection in fuzzy environment. Methodology proposed in this paper is consist of three main steps; (a) determining weight of each objective including return, risk and liquidity, by fuzzy logarithmic least square according to investors’ preferences matrix by the means of DE algorithm, (b&c) assigning pareto frontiers of pr...

This paper describes a new class of neuro-fuzzy models, called Reinforcement Learning Hierarchical NeuroFuzzy Systems (RL-HNF). These models employ the BSP (Binary Space Partitioning) and Politree partitioning of the input space [Chrysanthou,1992] and have been developed in order to bypass traditional drawbacks of neuro-fuzzy systems: the reduced number of allowed inputs and the poor capacity t...

The returns and risks of high-yield bond (HYB) lie between the stocks and Treasury bonds. In view of investment opportunities and the rate of return, the advantages of HYB are both lower risks and higher shares. Therefore, HYB has become one of important components in the portfolios. The purpose of this study is to identify critical factors related to the selection of HYB. Primary criteria to e...