Results 61 to 70 of about 1,614 (253)

Generalized Single-Valued Neutrosophic Hesitant Fuzzy Prioritized Aggregation Operators and Their Applications to Multiple Criteria Decision-Making

open access: yesInformation, 2018
Single-valued neutrosophic hesitant fuzzy set (SVNHFS) is a combination of single-valued neutrosophic set and hesitant fuzzy set, and its aggregation tools play an important role in the multiple criteria decision-making (MCDM) process.
Rui Wang, Yanlai Li
doaj   +1 more source

Erving Goffman at 100: A Chameleon Seen as a Rorschach Test within a Kaleidoscope

open access: yesSymbolic Interaction, EarlyView.
The 100th anniversary of Erving Goffman's birth was in 2022. Drawing on his work, the Goffman archives, the secondary literature, and personal experiences with him and those in his university of Chicago cohort, I reflect on some implications of his work and life, and the inseparable issues of understanding society.
Gary T. Marx
wiley   +1 more source

An Innovative Soft Rough Dual Hesitant Fuzzy Sets and Dual Hesitant Fuzzy Soft Rough Sets

open access: yesVFAST Transactions on Mathematics, 2023
This article seeks to demonstrate the novel properties of soft rough dual hesitant fuzzy sets (DHFSRSs) and dual hesitant fuzzy soft rough sets (SRDHFSs). The fundamental characteristics of DHFSRSs and SRDHFSs are thoroughlyinvestigated. Additionally, we present a portrayal hypothesis for the DHFSRSs and SRDHFSs, which demonstrates that the level ...
Tasawar Abbas   +4 more
openaire   +1 more source

Constructing Difference: Maternal Boundary‐Work in Science‐Based and Natural Mom Groups on Facebook

open access: yesSymbolic Interaction, EarlyView.
Boundary‐work describes the activities of social groups as they seek to differentiate themselves from others to establish credibility, authority, or to protect their interests. While a growing body of literature explores occupational boundary‐work in health care, limited research has focused on how lay actors practice boundary‐work online.
Darryn DiFrancesco
wiley   +1 more source

Hesitant Fuzzy $$\beta $$ β -Covering $$({\mathcal {I}},$$ ( I , $${\mathcal {O}})$$ O ) Rough Set Models and Applications to Multi-attribute Decision-Making

open access: yesInternational Journal of Computational Intelligence Systems
The hesitant fuzzy $$\beta $$ β -covering rough set offers stronger representational capabilities than earlier hesitant fuzzy rough sets. Its flexibility makes it more suitable for hesitant fuzzy multi-attribute decision-making (MADM).
Jingyi Wang   +3 more
doaj   +1 more source

Success and failure in foreign policy: Comparing Bob Hawke and Kevin Rudd's regional order‐building initiatives

open access: yesAustralian Journal of Public Administration, EarlyView.
Abstract Remarkably little is known about what factors drive success or failure in foreign policy. In part, this is because there is little fundamental agreement on what constitutes success or failure in this domain in the first place. This article engages with these shortcomings by comparing two similar regional order‐building initiatives overseen by ...
Benjamin Day
wiley   +1 more source

Putting the Femme in Feminist: Trans Feminism and the ‘Male Lesbian’ in the American Second Wave

open access: yesGender &History, EarlyView.
ABSTRACT A slur, a joke or a post‐structuralist case of mistaken identity. To the extent that the male lesbian has been discussed, she has figured dismissively. Yet throughout the period historicised as American feminism's second wave, potentially thousands of trans femmes organised under this identity. Despite being entirely overlooked in scholarship,
Aino Pihlak, Emily Cousens
wiley   +1 more source

Pythagorean Hesitant Fuzzy Information Aggregation and Their Application to Multi-Attribute Group Decision-Making Problems

open access: yesJournal of Intelligent Systems, 2018
In this paper, we introduce the concept of the Pythagorean hesitant fuzzy set (PHFS), which is the generalization of the intuitionistic hesitant fuzzy set under the restriction that the square sum of its membership degrees is ≤1.
Khan Muhammad Sajjad Ali   +3 more
doaj   +1 more source

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