Decision making methods based on fuzzy aggregation operators: Three decades review from 1986 to 2017
A Mardani, M Nilashi, EK Zavadskas… - … Journal of Information …, 2018 - World Scientific
In many real-life decision making (DM) situations, the available information is vague or
imprecise. To adequately solve decision problems with vague or imprecise information …
imprecise. To adequately solve decision problems with vague or imprecise information …
Multiple attribute group decision making: A generic conceptual framework and a classification scheme
The research activities in group decision making have dramatically increased over the last
decade. In particular, the application of multiple attribute decision-making methods to group …
decade. In particular, the application of multiple attribute decision-making methods to group …
A novel hybrid decision making approach for the strategic selection of wind energy projects
Wind energy projects provide clean energy so that they should be increased to reach the
sustainable development goals of the countries. However, current decision-making process …
sustainable development goals of the countries. However, current decision-making process …
Some q‐rung orthopair fuzzy Heronian mean operators in multiple attribute decision making
The generalized Heronian mean and geometric Heronian mean operators provide two
aggregation operators that consider the interdependent phenomena among the aggregated …
aggregation operators that consider the interdependent phenomena among the aggregated …
Location selection of city logistics centers under sustainability
C Rao, M Goh, Y Zhao, J Zheng - Transportation Research Part D …, 2015 - Elsevier
Abstract City Logistics Centers (CLC) are an important part of the modern urban logistics
system, and the selection of the location of a CLC has become a key problem in logistics …
system, and the selection of the location of a CLC has become a key problem in logistics …
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 …
An uncertain linguistic multi-criteria group decision-making method based on a cloud model
In this paper, a decision-making method based on a cloud model is proposed in order to
solve multi-criteria group decision-making problems in the situations where the criteria …
solve multi-criteria group decision-making problems in the situations where the criteria …
A hybrid multi-objective decision model for emergency shelter location-relocation projects using fuzzy analytic hierarchy process and goal programming approach
This paper presents a hybrid algorithm for efficiently managing location and relocation
projects by proposing a hybrid multi-objective decision model based on analytic hierarchy …
projects by proposing a hybrid multi-objective decision model based on analytic hierarchy …
Pythagorean fuzzy Hamacher aggregation operators and their application to multiple attribute decision making
SJ Wu, GW Wei - … Journal of Knowledge-Based and Intelligent …, 2017 - content.iospress.com
In this paper, we utilize Hamacher operations to develop some Pythagorean fuzzy
aggregation operators: Pythagorean fuzzy Hamacher weighted average (PFHWA) operator …
aggregation operators: Pythagorean fuzzy Hamacher weighted average (PFHWA) operator …
Picture 2-tuple linguistic aggregation operators in multiple attribute decision making
In this paper, we investigate the multiple attribute decision-making problems with picture 2-
tuple linguistic information. Then, we utilize arithmetic and geometric operations to develop …
tuple linguistic information. Then, we utilize arithmetic and geometric operations to develop …