Sonja Petrovic-Lazarevic

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This paper explores the application of fuzzy causal networks (FCNs) to evaluating effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviour. The sample data used in this study are selected from the International Tobacco Control Policy Evaluation Survey project. Our research findings have demonstrated that new health(More)
The aim of the paper is to demonstrate the neuro-fuzzy support of knowledge management in social regulation. Knowledge, defined as human capability of making data and information useful for decision making processes, could be understood for social regulation purposes as explicit and tacit. Explicit knowledge relates to the community culture indicating how(More)
The restaurant industry is an integral segment of the hospitality sector that is sensitive to external environmental changes. In order to remain competitive, restaurants must be flexible to quickly react and adapt to external environment challenges. Due to the close interactions and relationships between employees and managers, there can be direct effects(More)
The building construction process is inherently dangerous and falls in particular are a major, and sometimes fatal, hazard. The large companies use pools of sub-contractors who tend to focus mainly on price, rather than OHS. The paper discusses the field project and the methodology in the light of the recurring theme in OHS literature of a lack of safety(More)
The purpose of this paper is to point to the usefulness of applying a linear mathematical formulation of fuzzy multiple criteria objective decision methods in organising business activities. In this respect fuzzy parameters of linear programming are modelled by preference-based membership functions. This paper begins with an introduction and some related(More)
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(More)