Browsing by Author "Nabareseh, S.,"
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Item A fuzzy Topsis framework for selecting fragile states for support facility.(2014) Afful-Dadzie, E.,; Nabareseh, S.,; Afful-Dadzie, A.,; Oplatkova, Z. K.Aid recipient-countries especially those classified as ‘fragile states’ look to donor agencies and other financial organizations for various forms of support facilities to rebuild institutions and repair infrastructure. As countries within the fragile states bracket increase around the world, competition for such assistances has also become keen. To select countries for the fragile states support facility run by the African and Asian development banks, expert ratings over sets of unquantifiable performance based criteria are used to determine the ultimate deserving countries. In order to ensure transparency and fairness in the face of competition, such multi-criteria ratings demand techniques that do not only model human judgements but take into account the effect of variations in expert ratings as a result of possible influences. This paper proposes a fuzzy TOPSIS framework for selecting fragile states for support facility based on the African Development Bank selection criteria. Using pre-defined linguistic terms parameterized by triangular fuzzy numbers, a numerical example is provided on how the framework can be used by decision makers towards final selection of competing countries for the fragile states support facility. The paper anticipating possible influences of lobbyists, further performs a sensitivity analysis to examine the effect that bias in expert ratings could have on the final selection. The result shows a framework that can be applied in instances of selecting countries and organizations for aid purposes.Item Model for assessing quality of online health information: a fuzzy VIKOR based method.(John Wiley & Sons, Inc., 2015-11-25) Afful-Dadzie, E.,; Nabareseh, S.,; Oplatková, Z. K.,; Klímek, P.Today, tens and thousands of websites provide health-related information on various topics to a growing number of consumers. However, the lay user is often faced with a challenge of determining the quality of information provided by one site from the other. To ensure the protection of users from sites that provide unreliable and unsafe information, there has to be a competent reviewing body that rates and ranks the quality of information provided by each site. This paper (i) proposes a new criteria framework for assessing the quality of online health information and (ii) uses a fuzzy ‘visekriterijumska optimicija i kompromisno resenje’ method to demonstrate how online health information providers could be assessed and ranked based on their quality. The fuzzy modelling uses pre-defined linguistic variables parameterized by triangular fuzzy numbers in the assessment and subsequent ranking of providers under a particular health topic. A numerical example is demonstrated using diabetes online information providers to show how the assessment and ranking is carried out. The proposed framework provides functional basis for evaluating the quality of internet health information providers on any particular health topic.Item Tracking progress of African Peer Review Mechanism (APRM) using fuzzy comprehensive evaluation methods.(2014) Afful-Dadzie, A.,; Afful-Dadzie, E.,; Nabareseh, S.,; Oplatkova, Z.K.,Purpose - This paper proposes a new assessment methodology for the African Peer Review Mechanism (APRM) using fuzzy comprehensive evaluation method and the Delphi technique. The proposed approach by its design simplifies the review processes and also quantifies the outcome of the assessment result for easier interpretation and benchmarking among member countries. The proposed hybrid method demonstrates how the subjective APRM thematic areas and their objectives can be efficiently tracked country by country while addressing the key identified challenges.Design/methodology/approach - Using a numerical example, a demonstration of how the APRM assessment could be carried is shown using the Fuzzy Comprehensive Evaluation Method (FCEM) and the Delphi Method. The APRM’s own thematic areas are used as the evaluation factors and the weights are assigned using Delphi technique. A novel remark set is constructed to linguistically describe the performance of a country against each or all of the thematic areas. Then in line with the maximum membership degree principle, the position of the maximum number would correspond to its respective remark element to indicate the level of performance. Findings - The result shows a hybrid method of FCEM and Delphi used to determine whether a member country has "Achieved, "On Track", "Very likely to be achieved", "Possible if some changes are made" or "Off-Track" on the four focus areas of the APRM. The method provides a well-organized way of tracking progress of member countries. It is also an ideal method of tracking progress of individual thematic areas and objectives. Moreover, the simplicity of the proposed method, the preciseness of the final result it generates and the clear interpretation of the result makes it a stronger alternative to the current approach for assessing member countries. Practical implications - The African Peer Review mechanism (APRM) is a respected body with the backing of the heads of state in Africa. As most African countries become conscious of the pressure to meet international standards as far as governance performance is concerned, this proposed assessment methodology if adopted would go a long way in improving performance evaluation on the continent. Originality/value - The proposed methodology is unique in its simplicity and its ability to evaluate any of the APRM thematic areas independent of the others. This means an overall performance can be tracked as well as that of individual evaluation factors.