811 research outputs found
HFMADM method based on nondimensionalization and its application in the evaluation of inclusive growth
Inclusive growth, which encompasses different aspects of life, is a growth pattern that allows all people to participate in and contribute to growth process. In this paper, a novel hesitant fuzzy multiple attribute decision making (HFMADM) approach based on the nondimensionalization of decision making attributes is presented and then applied to the evaluation of inclusive growth in China. Firstly, a novel generalized hesitant fuzzy distance measure is proposed to calculate the difference and deviation between two hesitant fuzzy elements (hfes) without adding any values into the shorter hesitant fuzzy element. Secondly, the coefficient of variation and efficacy coefficient method are extended to accommodate hesitant fuzzy environment and then used to cope with HFMADM. In the analysis process, non-dimensional treatment for hesitant fuzzy decision data is produced. Lastly, the method proposed in this paper is applied to an example of inclusive growth evaluation problem under hesitant fuzzy environment and the case study illustrates the practicality of the proposed method. Beyond that, a comparative analysis with some other approaches is also conducted to demonstrate the superiority and feasibility of the proposed method
The Encyclopedia of Neutrosophic Researchers - vol. 1
This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editorās invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and indeterminacy. In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements
Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location planning of electric vehicle charging stations
Electric vehicles (EVs) could be regarded as one of the most
innovative and high technologies all over the world to cope with
the fossil fuel energy resource crisis and environmental pollution
issues. As the initiatory task of EV charging station (EVCS) construction,
site selection play an important part throughout the
whole life cycle, which is deemed to be multiple attribute group
decision making (MAGDM) problem involving many experts and
many conflicting attributes. In this paper, a grey relational analysis
(GRA) method is investigated to tackle the probabilistic uncertain
linguistic MAGDM in which the attribute weights are completely
unknown information. Firstly, the definition of the expected value
is then employed to objectively derive the attribute weights
based on the CRiteria Importance Through Intercriteria Correlation
(CRITIC) method. Then, the optimal alternative is chosen by calculating
largest relative relational degree from the probabilistic
uncertain linguistic positive ideal solution (PULPIS) which considers
both the largest grey relational coefficient from the PULPIS and the
smallest grey relational coefficient from the probabilistic uncertain
linguistic negative ideal solution (PULNIS). Finally, a numerical
case for site selection of electric vehicle charging stations (EVCS) is
designed to illustrate the proposed method. The result shows the
approach is simple, effective and easy to calculate
The generalized dice similarity measures for multiple attribute decision making with hesitant fuzzy linguistic information
In this paper, we shall present some novel Dice similarity measures of hesitant fuzzy linguistic term sets and the generalized Dice similarity measures of hesitant fuzzy linguistic term sets and indicate that the Dice similarity measures and asymmetric measures (projection measures) are the special cases of the generalized Dice similarity measures in some parameter values. Then, we propose the generalized Dice similarity measures-based multiple attribute decision making models with hesitant fuzzy linguistic term sets. Finally, a practical example concerning the evaluation of the quality of movies is given to illustrate the applicability and advantage of the proposed generalized Dice similarity measure
The generalized dice similarity measures for multiple attribute decision making with hesitant fuzzy linguistic information
In this paper, we shall present some novel Dice similarity measures of hesitant fuzzy linguistic term sets and the generalized Dice similarity measures of hesitant fuzzy linguistic term sets and indicate that the Dice similarity measures and asymmetric measures (projection measures) are the special cases of the generalized Dice similarity measures in some parameter values. Then, we propose the generalized Dice similarity measures-based multiple attribute decision making models with hesitant fuzzy linguistic term sets. Finally, a practical example concerning the evaluation of the quality of movies is given to illustrate the applicability and advantage of the proposed generalized Dice similarity measure
Pythagorean fuzzy combinative distance-based assessment with pure linguistic information and its application to financial strategies of multi-national companies
This article addresses the issue of selecting Financial Strategies in
Multi-National companies (F.S.M.). The F.S.M. typically has to consider
multiple factors involving multiple stakeholders and, hence,
can be handled by applying an appropriate Multi-Criteria Group
Decision-Making (M.C.G.D.M.) approach. To address this issue, we
develop an M.C.G.D.M. framework to tackle the F.S.M. problem. To
handle inherent uncertainty in business decisions as reflected by
linguistic reasoning, we embark on constructing a Linguistic
Pythagorean Fuzzy (L.P.F.) M.C.G.D.M. framework that is capable
of tackling both uncertain decision information and linguistic variables.
The proposed approach extends the combinative distancebased
assessment (C.O.D.A.S.) method into the L.P.F. environment,
and processes decision input expressed as Pythagorean fuzzy sets
(P.F.S.) and pure linguistic variables (rather than converting linguistic
information into fuzzy numbers). The developed L.P.F.-
C.O.D.A.S. technique aggregates the L.P.F. information and is
applied to the F.S.M. problem with uncertain linguistic information.
A comparative analysis is carried out to compare the results
obtained from the proposed L.P.F.-C.O.D.A.S. approach with those
from other extensions of C.O.D.A.S. Furthermore, a sensitivity analysis
is conducted to check the impact of changes in a distance
threshold parameter on the ranking results
Fuzzy Systems
This book presents some recent specialized works of theoretical study in the domain of fuzzy systems. Over eight sections and fifteen chapters, the volume addresses fuzzy systems concepts and promotes them in practical applications in the following thematic areas: fuzzy mathematics, decision making, clustering, adaptive neural fuzzy inference systems, control systems, process monitoring, green infrastructure, and medicine. The studies published in the book develop new theoretical concepts that improve the properties and performances of fuzzy systems. This book is a useful resource for specialists, engineers, professors, and students
A hesitant fuzzy SMART method based on a new score function for information literacy assessment of teachers
As two powerful and flexible tools for decision-makers (DMs) to
model the complex cognition, the hesitant fuzzy set (HFS) and
hesitant fuzzy linguistic term set (HFLTS) allow DMs to express
their opinions with several possible membership values or linguistic
terms on the objects over each criterion. The aim of this article
is to develop a novel score function of the HFS and HFLTS including
hesitant degree and fuzzy degree information. For this purpose,
the notion of fuzzy degree of the hesitant fuzzy element
(HFE) and hesitant fuzzy linguistic element (HFLE) is introduced
first. Then, considering both the hesitant degree and fuzzy degree
information in expressions, the new score function, namely the
Score-H&FD, is designed. Based on which, we extend the classical
SMART (simple multi-attribute rating technique) method to the
hesitant fuzzy environment. As a result, the hesitant fuzzy SMART
(HF-SMART) method is developed in this article. Afterwards, we
apply our proposed approach to assess and rank several teachers
concerning information literacy. Finally, sensitive analysis and
comparative analysis are carried out. The results show that the
proposed method in this article has substantial advantages and
applicability
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