Social Network Analysis

本文对国际科学计量学杂志《Ｓｃｉｅｎｔｏｍｅｔｒｉｃｓ》１９７９－１９９１年的研究论文内容、栏目、作者及国别和编委及国别作了计量分析，揭示出科学计量学研究的重点、活动的中心及发展趋势，说明了学科带头人在发展科学计量学这门新兴学科中的作用。

国际刊物《Scientometrics》文献计量研究

Two decades was systematically reviewed on fuzzy MCDM techniques from 1994 to 2014.The database for review was 403 papers from more than 150 high-ranking journals.403 scholarly papers were grouped in four different main fields.Papers were classified based on utilizing, developing and proposing research papers. MCDM is considered as a complex decision-making tool involving both quantitative and qualitative factors. In recent years, several fuzzy FMCDM tools have been suggested to choosing the optimal probably options. The purpose of this paper is to review systematically the applications and methodologies of the fuzzy multi decision-making (FMCDM) techniques. This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals (extracted from online databases such as ScienceDirect, Springer, Emerald, Wiley, ProQuest, and Taylor & Francis). According to experts' opinions, these papers were grouped into four main fields: engineering, management and business, science, and technology. Furthermore, these papers were categorized based on authors, publication date, country of origin, methods, tools, and type of research (FMCDM utilizing research, FMCDM developing research, and FMCDM proposing research). The results of this study indicated that, in 2013, scholars have published papers more than other years. In addition, hybrid fuzzy MCDM in the integrated method and fuzzy AHP in the individual section were ranked as the first and second methods in use. Additionally, Taiwan was ranked as the first country that contributed to this survey, and engineering was ranked as the first field that has applied fuzzy DM tools and techniques.

Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014

The q-rung orthopair fuzzy sets (q-ROFs) are an important way to express uncertain information, and they are superior to the intuitionistic fuzzy sets and the Pythagorean fuzzy sets. Their eminent characteristic is that the sum of the qth power of the membership degree and the qth power of the degrees of non-membership is equal to or less than 1, so the space of uncertain information they can describe is broader. Under these environments, we propose the q-rung orthopair fuzzy weighted averaging operator and the q-rung orthopair fuzzy weighted geometric operator to deal with the decision information, and their some properties are well proved. Further, based on these operators, we presented two new methods to deal with the multi-attribute decision making problems under the fuzzy environment. Finally, we used some practical examples to illustrate the validity and superiority of the proposed method by comparing with other existing methods.

Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making

Supply chain resilience (SCR) manifests when the network is capable to withstand, adapt, and recover from disruptions to meet customer demand and ensure performance. This paper conceptualizes and comprehensively presents a systematic review of the recent literature on quantitative modeling the SCR while distinctively pertaining it to the original concept of resilience capacity. Decision-makers and researchers can benefit from our survey since it introduces a structured analysis and recommendations as to which quantitative methods can be used at different levels of capacity resilience. Finally, the gaps and limitations of existing SCR literature are identified and future research opportunities are suggested.

Review of quantitative methods for supply chain resilience analysis

This study investigates the group decision making under interval-valued intuitionistic fuzzy environment in which the attributes and experts are in different priority level. We first propose some interval-valued intuitionistic fuzzy aggregation operators such as the interval-valued intuitionistic fuzzy prioritized weighted average (IVIFPWA) operator, the interval-valued intuitionistic fuzzy prioritized weighted geometric (IVIFPWG) operator. These proposed operators can capture the prioritization phenomenon among the aggregated arguments. Then, some of their desirable properties are investigated in detail. Furthermore, an approach to multi-criteria group decision making based on the proposed operators is given under interval-valued intuitionistic fuzzy environment. Finally, a practical example about talent introduction is provided to illustrate the developed method.

Interval-valued intuitionistic fuzzy prioritized operators and their application in group decision making

In this paper, the multi-criteria decision making problem with the assumption that the criteria are correlative is studied under intuitionistic fuzzy environment. Some new aggregation operators for intuitionistic fuzzy information are proposed, including the intuitionistic fuzzy geometric Heronian mean (IFGHM) operator and the intuitionistic fuzzy geometric weighed Heronian mean (IFGWHM) operator. We investigate the properties of the proposed operators, such as idempotency, monotonicity, permutation and boundary. Moreover, an approach is proposed for multi-criteria decision making based on IFGWHM operator. An example about talent introduction is given to illustrate the proposed method.

Intuitionistic fuzzy geometric Heronian mean aggregation operators

Information sciences 1968–2016: A retrospective analysis with text mining and bibliometric

In many personnel evaluation scenarios, decision makers are asked to provide their preferences anonymously to both ensure privacy and avoid psychic contagion. The use of hesitant fuzzy sets is a powerful technique for representing this type of information and has been well studied. This paper explores aggregation methods for prioritized hesitant fuzzy elements and their application on personnel evaluation. First, the generalized hesitant fuzzy prioritized weighted average (GHFPWA) and generalized hesitant fuzzy prioritized weighted geometric (GHFPWG) operators are presented. Some desirable properties of the methods are discussed and special cases are investigated in detail. Previous research has indicated that many existing hesitant fuzzy aggregation operators are special cases of the proposed operators. Then, a procedure and algorithm for group decision making is provided using these proposed generalized hesitant fuzzy aggregation operators. Finally, the group decision making method is applied to a representative personnel evaluation problem that involves a prioritization relationship over the evaluation index.

Group decision making under hesitant fuzzy environment with application to personnel evaluation

The historical graph about 30 most cited IFS papers measured by LCS. Identified the development trail of IFS discipline based on the historical graph.Citation analysis using basic statistics is provided.Discovered and solved the citation missing problem.Determined the position of crucial literatures via analyzing the citation network. Since Atanassov presented the intuitionistic fuzzy set (IFS) in 1983, a great amount of extended content has been made by experts in IFS field and then the citations of a more formal paper, which developed from the first proposal and was presented in 1986, have been cited over 4000 times in Google Scholar ending November 6, 2014. However, the research on the development track of this discipline has not caused extensive attention among scholars in this discipline. Therefore, in this paper, we plan to determine the development track of this discipline based on some statistics and network analysis methodologies, as a new attempt. Note that we only take the citation information on IFSs ending November 6, 2014 into account. Therefore all of the data in this paper have time restriction. We derive a historical graph about the development course of IFS and use some basic statistics to identify some influential journals, authors, etc. Then we analyze a small range of influential literatures based on the SNA (social network analysis) theory to figure out the position of several cardinal IFS literatures. As result suggests, Atanassov 1] is the most influential paper in IFS field. Most literatures referring to IFS cited this paper and on the basis of it, increasingly scholars combine other subjects with IFS subject.

Dejian Yu

Papers

Interval-valued intuitionistic fuzzy prioritized operators and their application in group decision making

Intuitionistic fuzzy geometric Heronian mean aggregation operators

Information sciences 1968–2016: A retrospective analysis with text mining and bibliometric

Group decision making under hesitant fuzzy environment with application to personnel evaluation

Researching the development of Atanassov intuitionistic fuzzy set