Skip to main content

Granular Computing OnlineFirst articles

13-08-2022 | Original Paper

Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach

Preferable hospitalization of COVID-19 patients has become an urgent and challenging task to save lives amidst the unexpected rising of the 3rd wave, where fuzzy set and matching techniques are considered due to their inherent capability to deal …

Amalendu Si, Sujit Das, Samarjit Kar

09-08-2022 | Original Paper

Finite-difference method for fuzzy singular integro-differential equation deriving from fuzzy non-linear differential equation

In this article, first time, a well-known equation, which can be used to analyze the behavior of the bubble formulation in the mixture of gas and liquid in fluid dynamics, has been considered in the form of a non-linear ordinary differential …

Sandip Moi, Suvankar Biswas, Smita Pal Sarkar

08-08-2022 | Original Paper

Winsorized dendritic neuron model artificial neural network and a robust training algorithm with Tukey’s biweight loss function based on particle swarm optimization

Multilayer perceptron artificial neural networks, which are one of the most popular artificial neural network models, are affected by outliers in the data set because they have both additive and multiplicative aggregation functions. From this …

Erol Egrioglu, Eren Bas, Ozlem Karahasan

06-08-2022 | Original Paper

A solution algorithm for finding the best and the worst fuzzy compromise solutions of fuzzy rough linear programming problem with triangular fuzzy rough number coefficients

An algorithm for the solution of the fuzzy rough linear programming (FRLP) problems with triangular fuzzy rough number parameters is proposed to overcome the uncertainty in decision-making problems. While the costs of the objective function and …

Gizem Temelcan

06-08-2022 | Original Paper

Multi-attribute decision-making based on the advanced possibility degree measure of intuitionistic fuzzy numbers

In this paper, we propose a novel multi-attribute decision-making (MADM) approach for the intuitionistic fuzzy numbers (IFNs) environment. For this, we propose the advanced possibility degree measure (APDM) to rank the intuitionistic fuzzy numbers …

Chirag Dhankhar, Kamal Kumar

05-08-2022 | Original Paper

Extended CODAS method for multi-attribute group decision-making based on 2-tuple linguistic Fermatean fuzzy Hamacher aggregation operators

The 2-tuple linguistic model initiated by Herrera and Martinez has become one of the most useful computing with words approaches. It provides an effective way of representing the linguistic evaluation in terms of 2-tuples to avoid information loss …

Muhammad Akram, Zohra Niaz, Feng Feng

03-08-2022 | Original Paper

Developing a novel stock index trend predictor model by integrating multiple criteria decision-making with an optimized online sequential extreme learning machine

It has always been the goal of many researchers to gain a thorough understanding of the patterns in the stock market and forecast the trends it will follow. The use of an advanced forecasting model can assist with accurately forecasting the future …

Sidharth Samal, Rajashree Dash

29-07-2022 | Original Paper

Picture fuzzy soft -algebra and picture fuzzy soft measure and their applications to multi-criteria decision-making

The concept of picture fuzzy soft sets (PFSSs) has been introduced as an efficacious extension of intuitionistic fuzzy soft sets to model uncertain information, especially when dealing with the responses “Yes”, “No”, and “Abstain”. Recently, Memiş …

Khalid Naeem, Samet Memiş

23-07-2022 | Original Paper

A new nonlinear causality test based on single multiplicative neuron model artificial neural network: a case study for Turkey’s macroeconomic indicators

Determining causal relationships is an important task in some scientific disciplines. The linear Granger causality tests have been commonly used in the literature. Although nonlinear causality tests have been proposed in the literature, there is …

Erol Egrioglu, Eren Bas, Turan Cansu, M. Akif Kara

20-07-2022 | Original Paper

Adaptive hybrid fuzzy time series forecasting technique based on particle swarm optimization

Fuzzy time series is a dynamic process in time series forecasting due to which it has gained a lot of attention from researchers. In this process, prediction accuracy is influenced by factors such as defining and partitioning the universe of …

Gunjan Goyal, Dinesh C. S. Bisht

20-07-2022 | Original Paper

Enhanced intuitionistic fuzzy similarity operators with applications in emergency management and pattern recognition

Intuitionistic fuzzy similarity operators (IFSOs) are integral part of decision-making process under uncertain environment, and as such, some authors have intensively researched on the subject. Several setbacks are spotted with the existing IFSOs …

Paul Augustine Ejegwa, Sesugh Ahemen

19-07-2022 | Original Paper

Dynamic customer segmentation: a case study using the modified dynamic fuzzy c-means clustering algorithm

Dynamic customer segmentation (DCS) is a useful tool for managers to adjust their marketing strategies from time to time. However, no study in the literature has attempted to develop a DCS framework until now. To fill the research gap, a DCS …

M. Sivaguru

31-05-2022 | Original Paper

Bearing fault diagnosis algorithm based on granular computing

Granular computing, as an emerging soft computing classification method, provides a theoretical framework for solving complex classification problems based on information granulation and is one of the core technologies for simulating human …

Xiaoyong Wang, Jianhua Yang, Wei Lu

27-05-2022 | Original Paper

Extended MULTIMOORA method based on 2-tuple linguistic Pythagorean fuzzy sets for multi-attribute group decision-making

Multi-attribute group decision-making (MAGDM) can be considered as the most significant branch in decision sciences and the multi-objective optimization ratio analysis plus full multiplicative form (MULTIMOORA) is a useful MAGDM method which …

Muhammad Akram, Ayesha Khan, Uzma Ahmad

24-05-2022 | Original Paper

Multiple attribute group decision-making based on generalized interval-valued Pythagorean fuzzy Einstein geometric aggregation operators

The aim of the paper is to develop the notion of some generalized interval-valued Pythagorean fuzzy aggregation operators using Einstein operational laws. Interval-valued Pythagorean fuzzy information are the good way to express the fuzzy …

Khaista Rahman

23-05-2022 | Original Paper

Interval neutrosophic matrix game-based approach to counter cybersecurity issue

Everyone on this planet is now more reliant on information and communication technology. Cybersecurity does the protection from theft and damage of all categories of data that require to be retained top secret. Cybersecurity-related problems that …

Mijanur Rahaman Seikh, Shibaji Dutta

19-05-2022 | Original Paper

Multi-criteria decision making based on novel fuzzy knowledge measures

Knowledge is related to the information considered in a particularly useful context under consideration. A knowledge measure as a dual of fuzzy entropy quantifies the knowledge associated with a fuzzy set. In this paper, a new entropy-based fuzzy …

Rajesh Joshi

18-05-2022 | Original Paper

An improved search algorithm for the shortest path under interval-valued Pythagorean fuzzy environment

The Shortest Path Problem is one of the most exciting topics in network optimization graph theory and is also used in various applications, such as transportation, Internet Protocol routing, Robotic Path, Emergency services, etc. In most …

K. Vidhya, A. Saraswathi

30-04-2022 | Original Paper

Finite-time stability of mild solution to time-delay fuzzy fractional differential systems under granular computing

In this work, based on the concept of the granular Caputo fractional derivative, a class of fuzzy fractional differential systems with finite-time delay is investigated. We firstly introduce the concept of Mittag-Leffler type matrix function …

Nguyen Phuong Dong, Nguyen Thi Kim Son, Tofigh Allahviranloo, Ha Thi Thanh Tam

28-04-2022 | Original Paper

Feature ranking based on an improved granular neural network

In this paper, we try to solve the feature ranking problem through an allocation of information granularity. In many real applications, people are more concerned with an ordered sequence, especially a sequence with a few most important features.

Mingli Song, Liansheng Hu, Shuang Feng, Yongbin Wang