با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
A Soft Computing Approach for group decision making: A supply chain management application
یک رویکرد نرم افزار محاسباتی برای تصمیم گیری گروهی: یک برنامه مدیریت زنجیره تأمین-2020 This paper presents a novel Soft Computing Approach called ‘‘Neuro-Fuzzy Analytical Network Process
(NFANP)’’ for the group decision-making problems based on the conventional Analytic Network
Process (ANP) method. The proposed approach deals with the interval values of judgments in a
fuzzy environment using mobile, not fixed, trapezoidal and triangular membership functions, as well
as the interval numerical ratio defined by alpha-cuts and the decision maker’s confidence levels.
The consistency problem of the fuzzy reciprocal matrices is addressed in the proposed paper by
allowing a certain tolerance deviation to be less than 0.20. Furthermore, trained Artificial Neural
Networks (ANNs) are included in the proposed approach to reduce the large number of computations
of the arithmetic operations required to correlate decision factors with the alternatives. In the
proposed implementation, the selection problem is defined into three main decision groups: Supplier
Characteristics, On-Going Performance, and Project Management Capabilities. The supplier alternatives
are classified by the decision makers corresponding to company size, quality system implementation,
and cost management. The application of the proposed approach shows a great accuracy in the final
utility values and a significant reduction in the calculation requirements. Keywords: Soft Computing | Neuro-Fuzzy Analytic Network Process | (NFANP) | Fuzzy judgments | Group decision-making | Supply chain management | ANNs |
مقاله انگلیسی |