Abstract. In the last 20 years, priority setting in mine actions, i.e. in humanitarian demining, has become an increasingly important topic. Given that mine action projects require management and decision-making based on a multi-criteria approach, multicriteria decision-making methods like PROMETHEE and AHP have been used worldwide for priority setting. However, from the aspect of mine action, where stakeholders in the decision-making process for priority setting are project managers, local politicians, leaders of different humanitarian organizations, or similar, applying these methods can be difficult. Therefore, a specialized web-based decision support system (Web DSS) for priority setting, developed as part of the FP7 project TIRAMISU, has been extended using a module for developing custom priority setting scenarios in line with an exceptionally easy, userfriendly approach. The idea behind this research is to simplify the multi-criteria analysis based on the PROMETHEE method. Therefore, a simplified PROMETHEE method based on statistical analysis for automated suggestions of parameters such as preference function thresholds, interactive selection of criteria weights, and easy input of criteria evaluations is presented in this paper. The result is web-based DSS that can be applied worldwide for priority setting in mine action. Additionally, the management of mine action projects is supported using modules for providing spatial data based on the geographic information system (GIS). In this paper, the benefits and limitations of a simplified PROMETHEE method are presented using a case study involving mine action projects, and subsequently, certain proposals are given for the further research.

A systematic methodology for condition assessment of the historic road bridges was needed because of the poor and inadequate condition of bridges which cannot satisfy everyday-day dynamic loads and deteriorations due to the aging process. Thus in this study, a new expert system based on the knowledge approach has been proposed to develop a systematic procedure for condition assessment of these bridges using fuzzy logic and sets of α-cuts. Each bridge is divided into three components: superstructure, substructure, and equipment, and each component is divided into relevant elements. These elements are evaluated by an expert and their ratings are fuzzified according to defined fuzzy sets, their membership functions, and linguistic values. Furthermore, fuzzy structural importance is given to ratings of each element. Combinations of these two values are calculated to obtain a fuzzy rating of the component using the Fuzzy Weighted Geometric Mean (FWGM). Finally, for the defuzzification of the component rating, the centroid method is proposed. The Analytic Hierarchy Process (AHP) is used for comparison of the components. The bridge condition rating is achieved by summering all the components ratings multiplied by their relative importance, and it is presented as a value of the Historic Road Bridge Condition Assessment Index (HRBCAI). The validation is conducted on the bridges built until the end of the Austro-Hungarian Monarchy in Split-Dalmatia County, Croatia.

Abstract. Urban investment planning is highly complex and different views are provided by stakeholders and experts as to the scope, scale and potential solutions. The evaluation of such investments requires explicit consideration of multiple, conflicting and incommensurate criteria that have an important social, economic, and environmental influence on various stakeholders in different ways. To take into account all the dimensions, the proposed model is the Ranking Zones Model (RZM), based on PROMETHEE methods. The RZM comprises several steps providing a rank-list of all observed zones. It helps decision-makers come up with consistent decisions as to which zones to invest in and, at the same time, provides reassurance that the decision was based on a proper comparison of all relevant urban zone areas. The advantage of this approach is that even with a change in the decision-making structure, the actual procedure remains consistent.

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This article presents an approach to problems of emergency management on motorways using a Decision Support System (DSS). The advantages of this approach in comparison with conventional operational methods are acceptable data management costs provided by spatial data already stored in a Geographical Information System (GIS), generation of new data using various spatial functions as well as transparency for all emergency services. DSS deploys GIS in conjunction with other decision models thus becoming a powerful tool for the coordination of all participants in a decision-making process during emergency situations giving them a more cooperative surrounding. For the purpose of more efficient emergency management on motorways, the main idea is to provide an organisational support by combining GIS with decision models in order to provide an effective spatial DSS concept.