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EN
Because of the possible harmful effects of construction equipment on the environment, evaluation of them can be considered as a helpful activity to move toward the sustainability in construction. This evaluation process could involve some alternatives and some criteria in a discrete decision space. In this study, a new hybrid multi-criteria decision-making (MCDM) approach is proposed to deal with this evaluation process in the fuzzy environment. We present fuzzy extensions of the SWARA (Step-wise Weight Assessment Ratio Analysis) and CRITIC (CRiteria Importance Through Intercriteria Correlation) methods for determining subjective and objective weights of criteria. Based on these extended methods and the fuzzy EDAS (Evaluation based on Distance from Average Solution) method, a new hybrid approach is proposed. In this approach, the subjective and objective criteria weights are combined to determine more justified weights for criteria. The proposed approach is applied to a case study of construction equipment evaluation with sustainability considerations. To examine the result of evaluation, a sensitivity analysis is performed based on varying criteria weights. A comparison is also made between the results of the proposed approach and some existing MCDM methods. These analyses show the stability and validity of the results and efficiency of the proposed approach.
EN
The presented study analyses the development and performance measures of research journals in the field of civil engineering. As the paper was prepared on the occasion of the 20th anniversary since the Journal of Civil Engineering and Management (JCEM) was founded, it presents detailed description of its evolution. This journal is currently ranked in the 12th position worldwide, based on the values of Impact Factors (IF) published by the Thomson Reuter's Institute for Scientific Information (ISI) Web of Knowledge Journal Citation Reports. JCEM entered the first quartile (Q1) of its peer journals based on its worldwide impact in “Engineering, Civil” category of the ISI Web of Science. However, it has been argued that the IF value is not the sole and possibly not the best measure of journal quality. A number of metrics as well as bibliometric indicators have been developed to measure the impact of scholarly journals. The paper proposes an integrated multiple criteria approach for ranking journals. The essence of the approach lies in the ability to rank journals considering several criteria simultaneously and applying Multiple Criteria Decision Making (MCDM) methods to derive the rankings. Journals from the Q1 quartile of the “Engineering, Civil” category of the Web of Science were analyzed based on seven indicators derived from Journal Citation Reports while applying Weighted Aggregated Sum Product Assessment (WASPAS) method. Integrated rankings with the use of this method were then compared with journal rankings based on their ISI Impact Factor values.
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