Results 21 to 30 of about 20,995 (223)

On Interval-Valued Fuzzy Soft Preordered Sets and Associated Applications in Decision-Making

open access: yesMathematics, 2021
Recently, using interval-valued fuzzy soft sets to rank alternatives has become an important research area in decision-making because it provides decision-makers with the best option in a vague and uncertain environment. The present study aims to give an
Mabruka Ali, Adem Kılıçman
doaj   +1 more source

TOPSIS Method Based on the Correlation Coefficient of Interval-Valued Intuitionistic Fuzzy Soft Sets and Aggregation Operators with Their Application in Decision-Making

open access: yesJournal of Mathematics, 2021
The correlation coefficient between the two parameters plays a significant part in statistics. Furthermore, the exactness of the assessment of correlation depends upon information from the set of discourses.
Rana Muhammad Zulqarnain   +3 more
doaj   +1 more source

Interval Valued q- Rung Orthopair Hesitant Fuzzy Choquet Aggregating Operators in Multi-Criteria Decision Making Problems

open access: yesGazi Üniversitesi Fen Bilimleri Dergisi, 2022
: In this paper, we introduce Interval valued q- Rung Orthopair Hesitant fuzzy sets (IVq-ROHFS) with motivation of Interval valued pythagorean Hesitant fuzzy sets [44] as a new concept.
Şerif ÖZLÜ
doaj   +1 more source

Interval-Valued Intuitionistic Hypersoft Sets and Their Algorithmic Approach in Multi-criteria Decision Making [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
Hypersoft set (HSS) is one of the recent topics developed by Smarandache in 2018 to be presented by replacing the single attribute function, used in soft set (SS), with a multi attribute function i.e a function can be further bifurcated using HSS.
Somen Debnath
doaj   +1 more source

Aggregation and Interaction Aggregation Soft Operators on Interval-Valued q-Rung Orthopair Fuzzy Soft Environment and Application in Automation Company Evaluation

open access: yesIEEE Access, 2022
In several practical decision procedures, it is not accessible to denote assessments by a single crisp number due to a lack of information. However, representing information by an interval number within [0, 1] is a more credible approach ...
Xiaopeng Yang   +4 more
doaj   +1 more source

Corrigendum to “On Interval-Valued Hesitant Fuzzy Soft Sets” [PDF]

open access: yesMathematical Problems in Engineering, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ahmed Mostafa Khalil   +3 more
openaire   +2 more sources

Some operators on interval-valued hesitant fuzzy soft sets [PDF]

open access: yesAfrika Matematika, 2018
The main aim of this paper is to introduced the operations "Union" and "Intersection," and four operators $O_1, O_2, O_3, O_4 $ on interval-valued hesitant fuzzy soft sets and discuss some of their properties.
Manash Jyoti Borah, Bipan Hazarika
openaire   +2 more sources

Relationships among tissues, biofluids, and otolith selenium concentrations in wild female burbot (Lota lota)

open access: yesIntegrated Environmental Assessment and Management, EarlyView., 2023
Abstract In the Lake Koocanusa‐Kootenai River system (Montana, USA and British Columbia, Canada), selenium (Se) contamination has become an international concern and is suspected to contribute to the observed burbot (Lota lota) population collapse. Due to our limited ability to sample burbot in Lake Koocanusa for monitoring studies, we used a reference
Stephanie D. Graves   +6 more
wiley   +1 more source

Decision-Making Application Based on Aggregations of Complex Fuzzy Hypersoft Set and Development of Interval-Valued Complex Fuzzy Hypersoft Set [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
Hypersoft set, an extension of soft set, deals with disjoint attribute-valued sets corresponding to distinct attributes. In this study, the innovation of complex fuzzy hypersoft set (CFH-set) is conferred, which can tackle with uncertainties and ...
Atiqe Ur Rahman   +4 more
doaj   +1 more source

Interval-valued Fuzzy Soft Sets [PDF]

open access: yesJournal of Korean Institute of Intelligent Systems, 2007
This paper extends the work of Maji et al. (2001) to present the concept of interval-valued fuzzy soft sets and to present an algorithm for finding where the degree of membership are represented by interval values in [0, 1]. The proposed method is more flexible than the one presented in Maji et al.
openaire   +1 more source

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