فهرس المقالات Relative Importance

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  1 - The Factors Affecting Human Resources Productivity in Urban Construction Projects A Comparison of Relative Importance Index and Fuzzy Logic Methods
  Mobin Yarahmadi Mohammad Mirhoseini Mehdi Komasi Mohammad Ehsanifar
  10.30495/fomj.2023.1992756.1106
  Human resource productivity is one of the main concerns in organizations. In total,100 factors According to on three main sources: 1- Opinions of experts and academic professors, 2- Using project technical documents, 3- Previous similar research studies and related scie أکثر

  Human resource productivity is one of the main concerns in organizations. In total,100 factors According to on three main sources: 1- Opinions of experts and academic professors, 2- Using project technical documents, 3- Previous similar research studies and related scientific sources, were identified and categorized into four groups: plan human resource management, acquire project team, develop project team, and manage project team. Questionnaires were distributed among 103 members of the target population who were active construction contractors in Iran. The questionnaires were analyzed using two methods: Relative Importance Index (RII) and the Fuzzy Logic (FL). Ten factors that had the highest impact, based on the two methods, on HRP efficiency in the projects were identified and compared. The results of fuzzy logic and RII method showed that both methods were highly similar in terms of outcomes. In addition, the results indicated that “lack of proper communication between the technical office and workshop” was the most important factor based on the two techniques mentioned. تفاصيل المقالة
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  2 - A novel solving method for multi-objective decision making problems under fuzzy conditions
  Alireza Alinezhad ابوالفضل کاظمی Mojgan Khorasani
  This paper proposes a satisfying optimization method for fuzzy multiple objective optimization problem. Actually, the presented method realizes the trade-off between optimization and fuzzy importance requirement. Generally, the main aim of the presented approach is to m أکثر

  This paper proposes a satisfying optimization method for fuzzy multiple objective optimization problem. Actually, the presented method realizes the trade-off between optimization and fuzzy importance requirement. Generally, the main aim of the presented approach is to make the more important objective achieving the higher desirable satisfying degree. In practice, vagueness and imprecision of the goals, constraints and parameters in this problem make the decision-making complicated for decision makers who have to deal with the parameters to make the optimized decision. Hence, the reformulated optimization models based on goal programming is proposed for different fuzzy relations and fuzzy importance. In fact, decision makers can select the appropriate alternative considering their determinations from variety of solutions using parameter λ. Applying the proposed model, not only the satisfying results of all the objectives can be acquired, but also the fuzzy importance requirement can be simultaneously actualized. In addition, a numerical example is provided to illustrate how the model is applied. Finally, the conclusions and recommendations are presented. تفاصيل المقالة