| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 442 | 19 | 29 | 14 |
| Mathematics | 540 | 8 | 9 | 5 |
| Engineering and Technology | 627 | 15 | 25 | 14 |
Fuzzy logic, Mathematical optimization, Fuzzy number, Fuzzy set operations and Fuzzy set are among the topics commonly tackled in the journal. While the journal focused on Fuzzy logic, it was also able to explore topics like Discrete mathematics, Data mining and Applied mathematics. The Discrete mathematics study featured in Fuzzy Optimization and Decision Making draws parallels with the field of Algebra.
Topics in Mathematical optimization were tackled in line with various other fields like Measure (mathematics) and Fuzzy transportation. Research on Fuzzy number addressed in it frequently intersections with the field of Fuzzy classification. The studies on Defuzzification discussed can also contribute to research in the domains of Neuro-fuzzy and Fuzzy measure theory.
While work presented in Fuzzy Optimization and Decision Making provided substantial information on Artificial intelligence, it also covered topics in Machine learning, Group decision-making, Preference and Pattern recognition. Fuzzy mathematics research discussed connects with the study of Fuzzy subalgebra. Discussions in the journal are anchored in the subject of Uncertainty theory and the similar topic of Econometrics.
Mathematical optimization, Fuzzy logic, Fuzzy number, Fuzzy set operations and Artificial intelligence are the main subjects of interest in the most cited papers. While the most cited papers focused on Fuzzy logic, they were also able to explore topics like Probabilistic logic and Integer programming. In addition to Fuzzy set operations research, the journal papers aim to explore topics under Data mining, Complete information, Defuzzification, Fuzzy preference relation and Fuzzy classification.
The journal covers a variety of subjects, including Fuzzy logic, Probabilistic logic, Uncertainty theory, Applied mathematics and Term (time). Aside from discussions in Fuzzy logic, the journal also deals with the subject of Mathematical optimization which intersects with Stability radius disciplines. In the journal, Normalization (statistics), Prospect theory, Multiple-criteria decision analysis, Expression (mathematics) and Algorithm are investigated in conjunction with one another to address concerns in Probabilistic logic research.
The journal explores issues in Uncertainty theory which can be linked to other research areas like Portfolio investment and Econometrics. Expected value, Valuation of options and Differential equation are some topics wherein Applied mathematics research discussed in the journal have an impact. Fuzzy number is a primary topic of Fuzzy set research in Fuzzy Optimization and Decision Making.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Fuzzy Optimization and Decision Making (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Fuzzy Optimization and Decision Making (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 12.20% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 25.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.89% of all publications and 27.78% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Huchang Liao;Xiaomei Mi;Zeshui Xu;Zeshui Xu
(2020)Unknown
(2022)Kai Yao;Baoding Liu
(2020)Tingqing Ye;Baoding Liu
(2021)Waichon Lio;Baoding Liu
(2021)Unknown
(2023)Xunjie Gou;Zeshui Xu;Zeshui Xu;Xinxin Wang;Huchang Liao
(2021)Expanding your expertise beyond Computer Science can open diverse career opportunities in related fields. For those interested in engineering principles and design, an online degree for mechanical engineering offers a flexible way to gain technical knowledge that complements programming and systems development skills.
Physics plays a fundamental role in computing and technology. Pursuing the best online physics degree can provide a strong foundation in problem-solving and analytical thinking, which are critical in advanced computing fields such as quantum computing and simulation.
With the growing demand for data-driven decision making, following a focused data science learning path is an excellent way to specialize in managing and interpreting big data, greatly enhancing career prospects in industries reliant on analytics.
Electrical engineering also offers compelling career trajectories that intersect with computer hardware and software systems. Exploring an online electrical engineering career outcomes program can help bridge knowledge gaps and prepare for roles in embedded systems, IoT, and telecommunications.
