A new group decision making approach based on incomplete probabilistic dual hesitant fuzzy preference relationsComplex & Intelligent Systems - Tập 7 - Trang 3033-3049 - 2021
Juan Song, Zhiwei Ni, Feifei Jin, Ping Li, Wenying Wu
As an enhanced version of probabilistic hesitant fuzzy sets and dual hesitant fuzzy sets, probabilistic dual hesitant fuzzy sets (PDHFSs) combine probabilistic information with the membership degree and non-membership degree, which can describe decision making information more reasonably and comprehensively. Based on PDHFSs, this paper investigates the approach to group decision making (GDM) based...... hiện toàn bộ
New similarity measure and distance measure for Pythagorean fuzzy setComplex & Intelligent Systems - Tập 5 - Trang 101-111 - 2018
Xindong Peng
Pythagorean fuzzy set (PFS), disposing the indeterminacy portrayed by membership and non-membership, is a more viable and effective means to seize indeterminacy. Due to the defects of existing Pythagorean fuzzy similarity measures or distance measures (cannot obey third or fourth axiom; have no power to differentiate positive and negative difference; have no power to deal the division by zero prob...... hiện toàn bộ
A hybrid temporal convolutional network and Prophet model for power load forecastingComplex & Intelligent Systems - Tập 9 - Trang 4249-4261 - 2022
Jinyuan Mo, Rui Wang, Mengda Cao, Kang Yang, Xu Yang, Tao Zhang
Accurate and effective power system load forecasting is an important prerequisite for the safe and stable operation of the power grid and the normal production and operation of society. In recent years, convolutional neural networks (CNNs) have been widely used in time series prediction due to their parallel computing and other characteristics, but it is difficult for CNNs to capture the relations...... hiện toàn bộ
Strategic rationing and freshness keeping of perishable products under transportation disruptions and demand learningComplex & Intelligent Systems - Tập 8 - Trang 4513-4527 - 2021
Shanshan Li, Yong He, Melissza Salling
This paper considers a retailer who sells perishable fresh products directly to customers through an online channel and encounters a transportation disruption. Products shipped during the disruption period come with an uncontrollable delivery lead time, resulting in product quality degradation. To balance the compensation price provided to customers because of quality losses, the retailer might em...... hiện toàn bộ
Collaborative optimization of task scheduling and multi-agent path planning in automated warehousesComplex & Intelligent Systems - Tập 9 Số 5 - Trang 5937-5948 - 2023
Honglin Zhang, Yaohua Wu, Jinchang Hu, Yanyan Wang
AbstractTask scheduling (TS) and multi-agent-path-finding (MAPF) are two cruxes of pickup-and-delivery in automated warehouses. In this paper, the two cruxes are optimized simultaneously. Firstly, the system model, task model, and path model are established, respectively. Then, a task scheduling algorithm based on enhanced HEFT, a heuristic MAPF algorithm and a TS-...... hiện toàn bộ
Thuật toán tối ưu hóa cá voi nâng cao với việc cải thiện học ngược động và chiến lược trọng số quán tính thích nghi Dịch bởi AI Complex & Intelligent Systems - - 2023
Di Cao, Yujie Xu, Zhile Yang, He Dong, Xiaoping Li
Tóm tắtThuật toán Tối ưu hóa Cá voi (WOA), là một thuật toán mới được đề xuất dựa trên bầy đàn, đã từng bước trở thành một phương pháp phổ biến cho các bài toán tối ưu hóa trong nhiều lĩnh vực kỹ thuật khác nhau. Tuy nhiên, WOA gặp khó khăn với việc cân bằng kém giữa thăm dò và khai thác, cũng như hội tụ sớm. Trong bài báo này, một WOA nâng cao mới (EWOA), áp dụng ...... hiện toàn bộ
Efficient federated learning on resource-constrained edge devices based on model pruningComplex & Intelligent Systems - Tập 9 - Trang 6999-7013 - 2023
Tingting Wu, Chunhe Song, Peng Zeng
Federated learning is an effective solution for edge training, but the limited bandwidth and insufficient computing resources of edge devices restrict its deployment. Different from existing methods that only consider communication efficiency such as quantization and sparsification, this paper proposes an efficient federated training framework based on model pruning to simultaneously address the p...... hiện toàn bộ
Q-rung orthopair hesitant fuzzy preference relations and its group decision-making applicationComplex & Intelligent Systems - - Trang 1-22 - 2023
Benting Wan, Jiao Zhang, Harish Garg, Weikang Huang
To express the opinions of decision-makers, q-rung orthopair hesitant fuzzy sets (q-ROHFSs) have been employed extensively. Therefore, it is necessary to construct q-rung orthopair hesitant fuzzy preference relations (q-ROHFPRs) as a crucial decision-making tool for decision-makers. The goal of this paper aims to define a new consistency and consensus approach for solving q-ROHFPR group decision-m...... hiện toàn bộ