Maintenance management is one of the main focuses in industrial sector. Many maintenance functions with varieties optimization models have been proposed to aid maintenance management. However, there are limited models have been implemented in small and medium industries (SMIs). The data problems and the gap between theory and practice have always become a reason. In this paper, a new maintenanc...

The rough set concept is a new mathematical approach to imprecision, vagueness and uncertainty. To some extend it overlaps with fuzzy set theory and evidence theory – nevertheless the rough set theory can be viewed in its own rights, as an independent discipline. Many real-life applications of the theory have proved its practical usefulness. The paper presents the basic assumptions underlying t...

Decision support systems are powerful technologies for complex decision making and problem solving. However, constructing an accurate and interpretable decision support system (DSS) for any domain is a challenge. In this paper, a novel hierarchical co-evolutionary fuzzy system called HiCEFS is presented that can autonomously derive a fuzzy rule-based DSS from exemplar data. Most of the importan...

The aim of this paper is to present a model of Mobile Decision Support System where the preferences about alternatives can be provided, by the experts using Mobile Internet devices such as mobile phones or PDAs. Experts’ preferences can be represented using different preference elements: preference orderings, fuzzy preference relations, multiplicative preference relations and utility functions....

Normally an intelligent decision support system is build to solve complex problems involving multi-criteria decisions. The knowledgebase is the vital part of the decision support system containing the knowledge or data that is used for decision-making. Several works have been done where engineers and scientists have applied intelligent techniques and heuristics to obtain optimal decisions f rom...

—Clinical practice guidelines are expected to promote more consistent, effective, and efficient medical practices and improve health outcomes, especially if provided in the form of clinical decision support. However, most clinical guidelines, especially when expressed in the form of condition-action recommendations, embody different kinds of structural errors that compromise their practical val...

An interactive fuzzy multiple objective optimization method was proposed for solving fuzzy multiple objective linear programming problems where fuzzy parameters in both objective functions and constraints and fuzzy goals of objectives can be in any form of membership function. Based on the method, in this paper, a fuzzy multiple objective decision support system prototype is developed. A detail...

This paper presents a methodology for goal-oriented decision support. The method uses fuzzy cognitive map based on immune algorithm to find the initial state of system from among a large number of possible states. The initial state can answer the question that the course of events leads to a certain state in give scenario. Finally, an illustrative example is provided, and its results suggest th...