Granular Computing

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Decision-making approach based on Pythagorean Dombi fuzzy soft graphs
Granular Computing - Tập 6 - Trang 671-689 - 2020
Muhammad Akram, Gulfam Shahzadi
A Pythagorean fuzzy set model is more useful than intuitionistic fuzzy set model to handle the imprecise information involving both membership and nonmembership degrees, and a soft set is an other parameterized point of view for handling the vagueness. A Pythagorean fuzzy soft graph is considered more capable than intuitionistic fuzzy soft graph for representing the parametric relationships betwee...... hiện toàn bộ
Interval-valued q-rung orthopair fuzzy interactive Dubois–Prade operator and its application in group decision-making
Granular Computing - Tập 8 - Trang 1799-1818 - 2023
Yunzhi Peng
The Dubois–Prade operator can transform its parameter into different values when processing data, which can make it more flexible. Interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs) give decision-makers more degrees of freedom. Combining the flexibility of the Dubois–Prade operators and the degrees of freedom of IVq-ROFSs, this paper proposes the interval-valued q-rung orthopair fuzzy Dubois–...... hiện toàn bộ
Some arithmetic operations on the generalized sigmoidal fuzzy numbers and its application
Granular Computing - - 2017
Harish Garg
The objective of this work is to present an alternative method, under the fuzzy environment, for computing the various arithmetic operations of a system using the sigmoidal number. In the literature, authors have used the linear membership function using $$\alpha $$ ...... hiện toàn bộ
Multi-granulation fuzzy decision-theoretic rough sets and bipolar-valued fuzzy decision-theoretic rough sets and their applications
Granular Computing - Tập 4 - Trang 483-509 - 2018
Prasenjit Mandal, A. S. Ranadive
This paper investigates the decision-theoretic rough set (DTRS) approach in the frameworks of multi-granulation fuzzy and bipolar-valued fuzzy (BVF) probabilistic approximation spaces, respectively. By integrating fuzzy probability and BVF probability into the Bayesian decision procedure, we get four types of model of multi-granulation fuzzy decision-theoretic rough set (MG-FDTRS) approach and mul...... hiện toàn bộ
Domination in Pythagorean fuzzy graphs
Granular Computing - Tập 8 - Trang 959-966 - 2023
Sadegh Banitalebi, Rajab Ali Borzooei
Pythagorean fuzzy set theory is much more flexible to deal with obscure and uncertain knowledge comparative to fuzzy set theory. The principal aim of this article is to expand the meanings of domination and cobondage for Pythagorean fuzzy graphs by introducing the meanings of normal domination number, abnormal independent number, normal cobondage set, and normal cobondage number. Some relevant res...... hiện toàn bộ
Mạng nơ-ron nhân tạo Pi Sigma được điều chỉnh để dự đoán Dịch bởi AI
Granular Computing - Tập 8 - Trang 131-135 - 2022
Erol Egrioglu, Eren Bas
Các mạng nơ-ron nhân tạo Pi Sigma là một loại mạng nơ-ron bậc cao được sử dụng trong các vấn đề dự đoán chuỗi thời gian. Trong các mạng nơ-ron nhân tạo Pi Sigma, trọng số giữa lớp ẩn và lớp đầu ra được coi là hằng số và bằng một, và độ thiên lệch được coi là hằng số và bằng zero. Mặc dù đặc điểm này của các mạng nơ-ron nhân tạo Pi Sigma cho phép nó hoạt động với ít tham số hơn, nhưng nó cũng có th...... hiện toàn bộ
#mạng nơ-ron nhân tạo #Pi Sigma #dự đoán #chuỗi thời gian #tối ưu hóa bầy đàn hạt
An interactive method for the solution of fully Z-number linear programming models
Granular Computing - Tập 8 - Trang 1205-1227 - 2023
Muhammad Akram, Inayat Ullah, Tofigh Allahviranloo
Linear programming is a technique widely used in decision-making nowadays. Linear programming in a fuzzy environment makes it even more interesting due to the vagueness and uncertainty of the available resources and variables. Since the market price and profit of certain goods are not known exactly, considering fuzzy variables and parameters in the linear programming makes it more closer to the re...... hiện toàn bộ
Analysis of domination in the environment of picture fuzzy information
Granular Computing - Tập 7 - Trang 801-812 - 2021
Naeem Jan, Muhammad Asif, Abdul Nasir, Sami Ullah Khan, Abdu Gumaei
Picture fuzzy graph (PFG) is a useful tool in fuzzy graph theory that can be used to model a variety of real-world problems involving uncertainty caused by unknown, changing, and indeterminate data. PFG might be more fruitful at solving confusing problems than fuzzy graph (FG) and intuitionistic fuzzy graph (IFG). In this study, some interesting properties and results for the PFGs have been prese...... hiện toàn bộ
Defect classification of glass substrate using deep neuro-fuzzy network with optimal parameter combination
Granular Computing - Tập 8 - Trang 839-849 - 2022
Shun-Jie Zhuang, Cheng-Jian Lin
Currently, numerous smart products are based on glass substrates. However, defects that occur during the production of glass substrates affect the quality and safety of the final products. Accordingly, we developed an optimal-parameter-combination-based deep neuro-fuzzy network (O-DNFN) for classifying defects in glass substrate images. The proposed O-DNFN comprises a deep neuro-fuzzy network (DNF...... hiện toàn bộ
Neighborhood attribute reduction for imbalanced data
Granular Computing - Tập 4 - Trang 301-311 - 2018
Wendong Zhang, Xun Wang, Xibei Yang, Xiangjian Chen, Pingxin Wang
From the viewpoint of rough granular computing, neighborhood decision error rate-based attribute reduction aims to improve the classification performance of the neighborhood classifier. Nevertheless, for imbalanced data which can be seen everywhere in real-world applications, such reduction does not pay much attention to the classification results of samples in minority class. Therefore, a new str...... hiện toàn bộ
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