جلد 31، شماره 2 - ( 4-1399 )                   جلد 31 شماره 2 صفحات 294-287 | برگشت به فهرست نسخه ها


XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Khalifa H. An approach for optimization of multi- objective assignment problems with neutrosophic numbers. IJIEPR 2020; 31 (2) :287-294
URL: http://ijiepr.iust.ac.ir/article-1-890-fa.html
An approach for optimization of multi- objective assignment problems with neutrosophic numbers. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1399; 31 (2) :287-294

URL: http://ijiepr.iust.ac.ir/article-1-890-fa.html


چکیده:   (3522 مشاهده)
   This paper aims to study multi- objective assignment (NMOAS) problem with imprecise costs instead of its prices information. The NMOAS problem is considered by incorporating single valued trapezoidal neutrosophic numbers in the elements of cost matrices. After converting the NMOAS problem into the corresponding crisp multiobjective assignment (MOAS) problem based on the score function, an approach to find the most preferred neutrosophic solution is discussed. The approach is used through a weighting Tchebycheff problem which is applied by defining relative weights and ideal targets.  The advantage of this approach is more flexible than the standard multi- objective assignment problem, where it allows the decision maker (DM) to choose the targets he is willing. Finally, a numerical example is given to illustrate the utility, effectiveness and applicability of the approach.
 
  
 
     
نوع مطالعه: پژوهشي | موضوع مقاله: تحقیق در عملیات
دریافت: 1397/12/25 | پذیرش: 1399/2/6 | انتشار: 1399/4/7

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به نشریه بین المللی مهندسی صنایع و تحقیقات تولید می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb