Results 51 to 60 of about 5,983,529 (171)

Applications of Hesitant Interval Neutrosophic Linguistic Schweizer-Sklar Power Aggregation Operators to MADM

open access: yesJournal of Function Spaces, 2022
Hesitant interval neutrosophic linguistic sets (HINLSs) are one of the core generalization of various sets, such as neutrosophic set (NS), interval neutrosophic set (INS), and interval neutrosophic linguistic set (INLS).
Qaisar Khan   +2 more
doaj   +1 more source

Notion of Neutrosophic Risk and Financial Markets Prediction [PDF]

open access: yes, 2002
Presenting an application of the neutrosophic logic in the prediction of the financial ...
Sukanto, Bhattacharya
core   +1 more source

Neutrosophic combinatorics and its applications [PDF]

open access: yes, 2000
Based on the combined method in Chinese ancient I-Ching and theory of Taiji, this paper presents the Neutrosophic combinatorics by means of the combinations of the truth, the falsehood, and the indeterminacy in Smarandache’s Neutrosophy.
Fu, Anjie, Fu, Yuhua
core   +1 more source

New Operators on Interval Valued Neutrosophic Sets [PDF]

open access: yesNeutrosophic Sets and Systems, 2019
As a generalization of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets have been developed by F. Smarandache to represent imprecise, incomplete and inconsistent information existing in the real world. A neutrosophic set is characterized by a
Abhijit Saha, Said Broumi
doaj   +1 more source

Assessing Sustainability Performance in the Life Insurance Industry: An Integrated Sustainability Balanced Scorecard Framework Under q‐Rung Orthopair Fuzzy Information

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Assessing the sustainability performance of life insurers has become increasingly important, as long‐term competitiveness depends not only on financial soundness but also on environmental, social, organizational, and governance‐related capabilities.
Özcan Işık, İbrahim Adalar
wiley   +1 more source

Linguistic Approaches to Interval Complex Neutrosophic Sets in Decision Making [PDF]

open access: yes, 2019
One of the most efcient tools for modeling uncertainty in decision-making problems is the neutrosophic set (NS) and its extensions, such as complex NS (CNS), interval NS (INS), and interval complex NS (ICNS).
MUMTAZ ALI   +20 more
core   +1 more source

Battery Degradation Reduction in Flywheel–Battery Hybrid Energy Storage Using SSA‐Optimized Fuzzy‐PI Control

open access: yesEnergy Science &Engineering, EarlyView.
SSA‐optimized fuzzy‐PI control reduces battery stress in flywheel–battery hybrid energy storage systems by shifting transient power fluctuations to the flywheel. The strategy decreases ampere‐hour throughput by 46.1% and rainflow damage by 71% while maintaining stable DC‐bus regulation.
ZiFen Han   +5 more
wiley   +1 more source

Arithmetic Operations of Neutrosophic Sets, Interval Neutrosophic Sets and Rough Neutrosophic Sets

open access: yes, 2018
In approximation theory, neutrosophic set and logic show an important role. They are generalizations of intuitionistic fuzzy set and logic respectively.
Florentin Smarandache   +5 more
core   +1 more source

Technology‐Driven Transformation of Compensation Systems: Mapping the Causal Structure of Digital Reward Systems

open access: yesStrategic Change, EarlyView.
ABSTRACT Traditional reward systems, which are largely salary‐centered and structurally rigid, are no longer sufficient in an era defined by digital transformation. Building on this premise, this study examines how emerging technologies reshape integrated compensation systems by uncovering their causal, mediating, and outcome‐oriented roles.
Seyed Hossein Razavi Hajiagha   +5 more
wiley   +1 more source

Multiclass classification using neural networks and interval neutrosophic sets [PDF]

open access: yes, 2006
This paper presents a new approach to the problem of multiclass classification. The proposed approach has the capability to provide an assessment of the uncertainty value associated with the results of the prediction.
Wong, K.W., Fung, C.C., Kraipeerapun, P.
core  

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