کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10151044 1666105 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A large scale consensus reaching process managing group hesitation
ترجمه فارسی عنوان
یک توافق در مقیاس بزرگ در حال رسیدن به روند فرار گروه تردید
کلمات کلیدی
تصمیم گیری گروهی در مقیاس بزرگ، فرآیند هماهنگی، خوشه بندی مجموعه های فازی ناخواسته، وزن زیر گروه، سیستم پشتیبانی فرایند دستیابی هوشمندانه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Nowadays due to the social networks and the technological development, large-scale group decision making (LS-GDM) problems are fairly common and decisions that may affect to lots of people or even the society are better accepted and more appreciated if they agreed. For this reason, consensus reaching processes (CRPs) have attracted researchers attention. Although, CRPs have been usually applied to GDM problems with a few experts, they are even more important for LS-GDM, because differences among a big number of experts are higher and achieving agreed solutions is much more complex. Therefore, it is necessary to face some challenges in LS-GDM. This paper presents a new adaptive CRP model to deal with LS-GDM which includes: (i) a clustering process to weight experts' sub-groups taking into account their size and cohesion, (ii) it uses hesitant fuzzy sets to fuse expert's sub-group preferences to keep as much information as possible and (iii) it defines an adaptive feedback process that generates advice depending on the consensus level achieved to reduce the time and supervision costs of the CRP. Additionally, the proposed model is implemented and integrated in an intelligent CRP support system, so-called AFRYCA 2.0 to carry out this new CRP on a case study and compare it with existing models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 159, 1 November 2018, Pages 86-97
نویسندگان
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