Hongming mo

• Teacher at Sichuan Minzu College

Wind power is a typical clean and renewable energy, which has been widely regarded as one of the replaceable energies in many countries. Wind turbine is the key equipment to generate wind power. It is necessary to evaluate the risks of each stage of the wind turbine with regard to occupational health and safety. In this study, the stage of producti...

Evaluation of quality goals is an important issue in process management, which essentially is a multi-attribute decision-making (MADM) problem. The process of assessment inevitably involves uncertain information. The two crucial points in an MADM problem are to obtain weight of attributes and to handle uncertain information. D number theory is a ne...

Emergency decision-making has become as one of the hot issues in recent years. The aim of emergency decision-making is to reduce the casualties and property losses. All the processes of emergency decision-making are full of incompleteness and hesitation. The problem of emergency decision-making can be regarded as one of the multi-attribute decision...

As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an important role in handling the uncertainty under the uncertain environments. The Pythagoreanfuzzy sets (PFSs) proposed by Yager in 2013 can deal with more uncertain situations than intuitionistic fuzzy sets because of its larger range of describing the mem...

Recently time series prediction based on network analysis has become a hot research topic. However, how to more accurately forecast time series with good efficiency is still an open question. To address this issue, we propose an efficient time series forecasting method based on the DC algorithm and visibility relations on the vertexes set. Firstly,...

How to identify influential nodes in complex networks is still an open issue. In this paper, a new multi-evidence centrality is proposed based on evidence theory. The existing measures of degree centrality, betweenness centrality, efficiency centrality and correlation centrality are taken into consideration in the proposed method. The simulation on...

Multiple attribute decision analysis (MADA) is still a hot issue. In order to represent information of attribute more flexibly and intuitively, quantitative and qualitative data are involved in real-world applications. In this paper, a new methodology to deal with MADA problem based on D numbers is proposed. Different with other existing methods, t...

How to identify influential nodes in complex networks continues to be an open issue. A number of centrality measures have been presented to address this problem. However, these studies focus only on a centrality measure and each centrality measure has its own shortcomings and limitations. To solve the above problems, in this paper, a novel method i...

The bi-objective shortest-path problem (BSP) has attracted much attention since its great theoretical significance and wide application. The solution of this problem is to seek for the Pareto-optimal set of paths between two nodes in a graph, in which the edges refer to two attributes. The traditional methods either are highly time-consuming or onl...

How to efficiently make decision under uncertain is a hot research topic. In this paper, a new aggregating operator for linguistic decision making based on D numbers is proposed. D numbers is a new mathematic tool to model uncertainty, since it ignores the condition that elements on the frame must be mutually exclusive. Compared with these existing...

A fuzzy cognitive maps (FCM) is a cognitive map within the relations between the elements. FCM has been widely used in many applications such as experts system and knowledge engineering. However, classical FCM is inherently short of sufficient capability of representing and aggregating uncertain information. In this paper, generalized FCM (GFCM) is...

Identifying influential nodes in complex networks is still an open issue. Although various centrality measures have been proposed to address this problem, such as degree, betweenness, and closeness centralities, they all have some limitations. Recently, technique for order performance by similarity to ideal solution (TOPSIS), as a tradeoff between...

The visibility graph method is used to transform time series into complex networks. In this letter, a fast transform algorithm is proposed for obtaining a visibility graph. Based on the strategy of "divide & conquer," the time complexity of the proposed algorithm is raised to O(n log n), which is more efficient than the previous basic algorithm who...

The ordered weighted averaging (OWA) operators are widely used in many applications. Determining the OWA operator weights is still an open issue. In this paper, an ordered visibility graph weighted averaging (OVGWA) aggregation operator is proposed based on complex network methodology. After the argument values are ordered in descending order, a ne...

This paper introduces an evidential opinion dynamics model combing Dempster-Shafer evidence theory to explore the opinion evolution. Our model is an improvement of the Continuous Opinions and Discrete Actions (CODA) model. The process of people updating their opinions is regarded as a decision making process. The unavoidable uncertainty of the opin...

Identifying influential nodes in complex networks is still an open issue. In this paper, a new comprehensive centrality measure is proposed based on the Dempster-Shafer evidence theory. The existing measures of degree centrality, betweenness centrality and closeness centrality are taken into consideration in the proposed method. Numerical examples...

In the real world, the vague and imprecise information which comes from language is difficult to be dealt with. The discrete fuzzy number offers a flexible way to represent this qualitative information. In general, alternatives can be compared according to the location of core. However, when the cores are same, it needs a method to rank alternative...

Dempster-Shafer evidence theory is a powerful tool of probabilistic reasoning based on a formal calculus for combining evidence. It is widely used in many fields. Evidence distance measure is an important factor in the combination rule of evidence theory. In this paper, a new evidence distance measure, based on pignistic probability transformation,...

Dempster-Shafer evidence theory is a powerful tool in information fusion. When the evidence are highly conflicting, the counter-intuitive results will be presented. To adress this open issue, a new method based on evidence distance of Jousselme and Hausdorff distance is proposed. Weight of each evidence can be computed, preprocess the original evid...

The traditional failure mode and effects analysis (FMEA) is determined by risk priority number (RPN), which is the product of three risk factors occurrence (O), severity (S), and detection (D). One of the open issues is how to precisely determine and aggregate the risk factors. However, the traditional FMEA has been extensively criticized for vario...

Dempster-Shafer theory of evidence (D-S theory) is widely used in uncertain information process. The basic probability assignment(BPA) is a key element in D-S theory. How to measure the distance between two BPAs is an open issue. In this paper, a new method to measure the distance of two BPAs is proposed. The proposed method is a generalized of exi...