Results 251 to 260 of about 143,659 (298)

Complex fuzzy soft expert sets

AIP Conference Proceedings, 2017
Complex fuzzy sets and its accompanying theory although at its infancy, has proven to be superior to classical type-1 fuzzy sets, due its ability in representing time-periodic problem parameters and capturing the seasonality of the fuzziness that exists in the elements of a set.
Ganeshsree Selvachandran, Nisren A. Hafeed, Abdul Razak Salleh   +2 more
openaire   +1 more source

Complex T-Spherical Fuzzy N-Soft Sets

2021
This research article broadens the literature by presenting a new model, namely, complex T-spherical fuzzy N-soft sets, which is capable to handle both aspects of two-dimensional information involved in the satisfaction, abstinence and dissatisfaction nature of human decisions.
Muhammad Akram, Maria Shabir
openaire   +1 more source

Enhancing decision-making in environmental management: a complex picture fuzzy soft set approach to sustainability assessment

Computational and Applied Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Muhammad Kamran, Qingyu Zhang, Shahzaib Ashraf, Muhammad Nadeem   +3 more
semanticscholar   +2 more sources

Interval-valued complex fuzzy soft sets

AIP Conference Proceedings, 2017
Type-2 fuzzy sets allow us to incorporate the uncertainties about the membership functions into fuzzy sets, thereby overcoming a problem that is inherent in type-1 fuzzy sets, which does not allow for any uncertainty in assigning values to the membership functions.
Ganeshsree Selvachandran, Abdul Razak Salleh   +1 more
openaire   +1 more source

Fuzzy parameterized complex multi-fuzzy soft expert sets

AIP Conference Proceedings, 2019
This paper presents a new approach to time-series applications, called the fuzzy parameterized complex multi-fuzzy soft expert set FPCM k FSE – set. Some operations related to this new concept are defined, such as equal, subset, complement, union and intersection.
Yousef Al-Qudah, Nasruddin Hassan
openaire   +1 more source

Similarity measures of neutrosophic fuzzy soft set and its application to decision making

Journal of experimental and theoretical artificial intelligence (Print), 2023
Complex data analysis should be done in the most accurate way in order to express the uncertain environments in the most ideal way. In addition, mathematical models that can best express the membership degrees that represent the objects are preferred for
Orhan Dalkılıç, Naime Demirtaş
semanticscholar   +1 more source

Fuzzy parameterized-interval complex neutrosophic soft sets and their applications under uncertainty

Journal of Intelligent & Fuzzy Systems, 2023
Interval complex neutrosophic soft set (ICNSS) is the generalization of complex neutrosophic soft set (CNSS) as it provides an interval-based membership structure to handle the complex neutrosophic soft data. However, in the definition of the ICNSS, parameters set is a classical set, and the parameters have the same degree of importance which is ...
Al-Sharqi, Faisal, Ahmad, Abd Ghafur, Al-Quran, Ashraf   +2 more
openaire   +1 more source

Mappings on classes of expert complex fuzzy soft sets

Afrika Matematika, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ganeshsree Selvachandran, Nisren A. Hafeed, Abdul Razak Salleh, P. K. Maji   +3 more
openaire   +2 more sources

Fuzzy soft set theory: Application of classification rules in decision making during medical diagnosis*

Journal of Intelligent & Fuzzy Systems, 2021
Present study is an interdisciplinary approach towards rapid and efficient medical diagnosis. The research articulated on data set of cross-sectional study of pregnant females dwelling rural area of Pakistan.
Fehmi Aziz, F. Tahir, Sadia Midhat, Shafaq Naz, N. Qureshi   +4 more
semanticscholar   +1 more source

RETRACTED: A novel stochastic group decision-making framework with dual hesitant fuzzy soft set for resilient supplier selection

Journal of Intelligent & Fuzzy Systems, 2021
Suppliers can be regarded as unavoidable sources of external risks in modern supply chains, which may cause disruption of supply chains. A resilient supplier usually has a high adaptive ability to reduce the vulnerability against disruptions and recover ...
Yuanxiang Dong, Xinglu Deng, Xinyu Hu, Weijie Chen   +3 more
semanticscholar   +1 more source