An intuitionistic fuzzy multi-distance based evaluation for aggregated dynamic decision analysis (IF-DEVADA): Its application to waste disposal location selection

N Alkan, C Kahraman - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Multi-criteria decision-making (MCDM) methods used in solving real-life problems are very
useful tools as they allow the evaluation of many qualitative and quantitative factors …

A hybrid particle swarm optimizer with sine cosine acceleration coefficients

K Chen, F Zhou, L Yin, S Wang, Y Wang, F Wan - Information Sciences, 2018 - Elsevier
Particle swarm optimization (PSO) has been widely used to solve complex global
optimization tasks due to its implementation simplicity and inexpensive computational …

An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques

H Garg, D Rani - Applied Intelligence, 2022 - Springer
This paper intends to propose a multi-attribute group decision making (MAGDM)
methodology based on MULTIMOORA under IFS theory for application in the assessment of …

A new distance measure of interval-valued intuitionistic fuzzy sets and its application in decision making

Y Liu, W Jiang - Soft Computing, 2020 - Springer
Interval-valued intuitionistic fuzzy sets are widely used in multi-attribute decision-making
problems to select the optimal alternative, but how to measure uncertainty is an open and …

Multiple attributes group decision-making based on trigonometric operators, particle swarm optimization and complex intuitionistic fuzzy values

D Rani, H Garg - Artificial Intelligence Review, 2023 - Springer
This paper describes a novel multi-attribute group decision-making (MAGDM) algorithm
based on complex intuitionistic fuzzy values (CIFVs). The present work is divided into three …

Enhancing interval-valued Pythagorean fuzzy decision-making through Dombi-based aggregation operators

G Alhamzi, S Javaid, U Shuaib, A Razaq, H Garg… - Symmetry, 2023 - mdpi.com
The success of any endeavor or process is heavily contingent on the ability to reconcile and
satisfy balance requirements, which are often characterized by symmetry considerations. In …

Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation

J Qin, Y Liu, R Grosvenor, F Lacan, Z Jiang - Journal of Cleaner Production, 2020 - Elsevier
The additive manufacturing (AM) process is characterised as a high energy-consuming
process, which has a significant impact on the environment and sustainability. The topic of …

Multiattribute decision making based on new score function of interval-valued intuitionistic fuzzy values and normalized score matrices

SM Chen, KY Tsai - Information Sciences, 2021 - Elsevier
In this paper, we propose a novel multiattribute decision making (MADM) method on the
basis of the proposed score function of interval-valued intuitionistic fuzzy values (IVIFVs) and …

A new multiattribute decision making method based on multiplication operations of interval-valued intuitionistic fuzzy values and linear programming methodology

SM Chen, WH Han - Information Sciences, 2018 - Elsevier
In this paper, we propose a new method for multiattribute decision making (MADM) using
multiplication operations of interval-valued intuitionistic fuzzy values (IVIFVs) and the linear …

Particle swarm optimization for trust relationship based social network group decision making under a probabilistic linguistic environment

X Zhou, F Ji, L Wang, Y Ma, H Fujita - Knowledge-Based Systems, 2020 - Elsevier
Group decision making (GDM) problems require consensus reaching processes; however,
these can be time consuming and costly. As experts change their evaluations after …