Hesitant fuzzy geometric Bonferroni means
The Bonferroni mean (BM) can capture the interrelationships among arguments, which plays
a crucial role in multi-criteria decision making problems. In this paper, we explore the …
a crucial role in multi-criteria decision making problems. In this paper, we explore the …
Models for green supplier selection with some 2-tuple linguistic neutrosophic number Bonferroni mean operators
In this paper, we extend the Bonferroni mean (BM) operator, generalized Bonferroni mean
(GBM) operator, dual generalized Bonferroni mean (DGBM) operator and dual generalized …
(GBM) operator, dual generalized Bonferroni mean (DGBM) operator and dual generalized …
Multiple criteria decision making based on Bonferroni means with hesitant fuzzy linguistic information
In recent decades, different extensional forms of fuzzy sets have been developed. However,
these multitudinous fuzzy sets are unable to deal with quantitative information better …
these multitudinous fuzzy sets are unable to deal with quantitative information better …
A novel approach based on neutrosophic Bonferroni mean operator of trapezoidal and triangular neutrosophic interval environments in multi-attribute group decision …
Neutrosophic multicriteria is a method of decision-making that uses indeterminacy to
combine several criteria or elements, frequently with incomplete or ambiguous information …
combine several criteria or elements, frequently with incomplete or ambiguous information …
New q‐rung orthopair fuzzy partitioned Bonferroni mean operators and their application in multiple attribute decision making
W Yang, Y Pang - International Journal of Intelligent Systems, 2019 - Wiley Online Library
The q‐rung orthopair fuzzy sets are superior to intuitionistic fuzzy sets or Pythagorean fuzzy
sets in expressing fuzzy and uncertain information. In this paper, some partitioned …
sets in expressing fuzzy and uncertain information. In this paper, some partitioned …
A new fuzzy k-nearest neighbor classifier based on the Bonferroni mean
We present a new generalized version of the fuzzy k-nearest neighbor (FKNN) classifier that
uses local mean vectors and utilizes the Bonferroni mean. We call the proposed new …
uses local mean vectors and utilizes the Bonferroni mean. We call the proposed new …
Selecting an airport ground access mode using novel fuzzy LBWA-WASPAS-H decision making model
Airports are critical in ensuring a fast way of transporting people and goods. Choosing a
reliable, fast and comfortable access mode to the airport is vital to ensure a seamless …
reliable, fast and comfortable access mode to the airport is vital to ensure a seamless …
Intuitionistic fuzzy geometric interaction averaging operators and their application to multi-criteria decision making
This paper proposes some new geometric operations on intuitionistic fuzzy sets (IFSs)
based on probability non-membership (PN) function operator, probability membership (PM) …
based on probability non-membership (PN) function operator, probability membership (PM) …
Multiple attribute decision making based on q-rung orthopair fuzzy generalized Maclaurin symmetic mean operators
P Liu, Y Wang - Information Sciences, 2020 - Elsevier
In the article, we establish two multiple attribute decision making (MADM) approaches using
the developed weighted generalized Maclaurin symmetric mean (q-ROFWGMSM) and …
the developed weighted generalized Maclaurin symmetric mean (q-ROFWGMSM) and …