The aim of this study was to create a decision support system for disc hernia diagnostics based on real measurements foot force values from sensors and fuzzy logic, as well implement the Field Programmable Gate Array (FPGA). results show that created logic had 92.8% accuracy pre-operational diagnosis very high match between Matlab FPGA output (94.2% condition, 100% post-operational after physic...

In the paper is presented Neuro-Fuzzy System as a decision-making support in selection of construction machines (the example selecting loader provided). Construction characteristics make basis for selection, but also other elements importance. The data modeling are prepared using Multi-Criteria Decision Making (MCDM) methods: Logarithm Methodology Additive Weights (LMAW), VIKOR, TOPSIS, MOORA a...

Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various intelligent decision support systems (amongst many others). This paper presents an integrated utilisation of some recent advances in these theories for detection and prevention of serious crime (e.g. terrorism). It is shown tha...

Operational Risk management, the least covered component of Enterprise Wide Risk Management, needs intelligent tools to implement Comprehensive Emergency Management Programs. In this paper we discuss how an Intelligent Decision Support System (I-DSS), based on Fuzzy Logic, can be used for supporting the management of complex and critical systems, especially under contingency situations, with li...

An interleaved integration of the planning and scheduling process is presented with the idea of including soft temporal constraints in a partial order planner that is being used as the core module of an intelligent decision support system for the design forest fire fighting plans. These soft temporal constraints have been defined through fuzzy sets. This representation allows us a flexible repr...

Developments in information and computing technologies have given rise to Intelligent Decision Support Systems (IDSS). The design of IDSS is largely based on data mining techniques and fuzzy logic. While decision-making is an advanced cognitive process, very little has been done in developing decision support methodologies that help integrate high level cognitive human reasoning and thinking el...

The selection of tourist attractions is a multi-criteria decision making problem, which requires time and careful consideration to make the right decision. proper destination based on human needs in particular moment affects satisfaction traveling. This research aims create support system for selecting (a case study Kupang City) using fuzzy analytic hierarchy process method. Users can input pri...