Group multiple criteria ABC inventory classification using TOPSIS approach extended by Gaussian interval type-2 fuzzy sets and optimization programs
نویسندگان
چکیده
منابع مشابه
Interval Type-2 Fuzzy Rough Sets and Interval Type-2 Fuzzy Closure Spaces
The purpose of the present work is to establish a one-to-one correspondence between the family of interval type-2 fuzzy reflexive/tolerance approximation spaces and the family of interval type-2 fuzzy closure spaces.
متن کاملUsing DEA to compute most favourable and least favourable sets of weights in ABC inventory classification
متن کامل
interval type-2 fuzzy rough sets and interval type-2 fuzzy closure spaces
the purpose of the present work is to establish a one-to-one correspondence between the family of interval type-2 fuzzy reflexive/tolerance approximation spaces and the family of interval type-2 fuzzy closure spaces.
متن کاملAn integrated model for solving the multiple criteria ABC inventory classification problem
In this paper, we present an integrated version of the Ng model and Zhou and Fan model [W. L. Ng,A simple classifier for multiple criteria ABC analysis, European Journal of Operation Research, 177(2007) 344-353; P. Zhou & L. Fan, A note on multi-criteria ABC inventory classification usingweighted linear optimization, European Journal of Operation Research, 182 (2007) 1488-1491]. Themodel that N...
متن کاملAn Approach based on TOPSIS for Interval Type-2 Fuzzy Multiple Attributes Decision-making
The type-2 fuzzy sets (T2FSs) provide us additional degrees of freedom to represent the uncertainty and the fuzziness of the real world. As a special kind of T2FSs, interval type-2 fuzzy sets (IT2FSs), whose operations are much simpler than the ones of general T2FSs. So the research of IT2FSs has become a hot topic in decision-making field in recent years. In this paper, firstly, we introduce t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientia Iranica
سال: 2018
ISSN: 2345-3605
DOI: 10.24200/sci.2018.5539.1332