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Articles by Roy AR
Medical decision support for dengue shock syndrome using a bipolar linear diophantine fuzzy hypersoft model with trigonometric similarity
The study of fuzzy set theory and its extensions has significantly contributed to various data analysis and decision-making fields, offering effective ways of handling imprecision and uncertainty. Among these advancements, one of the latest powerful emergences is the bipolar linear diophantine fuzzy hypersoft set ( BLDFHS) (Sri et al., 2024; Vimala et al., 2025) that merges bipolar fuzzy with enhanced parametrization to model real-world situations.
Hybrid decision support system disaster management: application of lattice ordered q-rung linear Diophantine fuzzy hypersoft sets
The frequent occurrence of uncertainty-related issues in multi-attribute decision-making (MADM) makes them difficult to foresee and manage due to the extensive modeling of these uncertainties. The fuzzy set (FS) theory introduced by Zadeh (1965) is very useful for handling the difficulties brought on by uncertainty. However, FS only has a limited ability to reflect impartial situations. To overcome these restrictions, Atanassov (1986) devised the notion of intuitionistic fuzzy sets (IFS).
Adaptive machine learning approaches utilizing soft decision-making via intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices
The following information was supplied regarding data availability: The Ecoli dataset is available at at UCI Machine Learning Repository: Nakai, K. (1996). Ecoli [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5388M. The Leaf dataset is available at UCI Machine Learning Repository: Silva, P. & Maral, A. (2013). Leaf [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C53C78. The Libras is available at UCI Machine Learning Repository: Dias, D., Peres, S., & Bscaro, H.
The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection
Consumer buying behavior is a multifaceted field of study that remains challenging to fully comprehend, given its close ties to the complexities of human psychology (Kardes, Cline & Cronley, 2011; Kotler & Armstrong, 2009). While forecasting consumer buying behavior is feasible through analyzing prior purchase data, uncovering the fundamental drivers behind these decisions remains a pursuit (Solomon, 2004).
An algorithmic multiple attribute decision-making method for heart problem analysis under neutrosophic hypersoft expert set with fuzzy parameterized degree-based setting
In different scientific directions, there are many mathematical techniques like the fuzzy set (𝔽-set) (Zadeh, 1965) and the intuitionistic fuzzy set (IF-set) (Atanassov & Atanassov, 1999) for the solution of difficult situations having various types of uncertainties. The fuzzy set-like technique is for the truth value of an item belonging to a certain description space, and the second is for both the truth and false values of an item with the property of dependency on each other.
A new approach to sustainable logistic processes with q-rung orthopair fuzzy soft information aggregation
The main endowments and the goals of this article are given below: To establish the prioritized weighted averaging operators and prioritized weighted geometric operators under q-ROFS context, which deals with the prioritization connection in the information. Consequently, to handle such information, q-ROFSPWA and q-ROFSPWG operators are effectively presented. To present definite some basic properties of the proposed operators.
Extraction and characterisation of pigment from Yanzhiguo [Prunus napaulensis (Ser.) Steud.]
Pigment stability To know the stability, Yanzhiguo pigment absorbances at 277 nm and a* values were investigated under different light, temperature, and pH conditions, then compared with that of carmine (a typical synthetic pigment) (Fig. 6).
A robust algorithmic cum integrated approach of interval-valued fuzzy hypersoft set and OOPCS for real estate pursuit
Motivation of proposed study Many researchers made rich contributions regarding the utilization of fuzzy TOPSIS for handling various DM situations. Eraslan (2015) presented a DM system structured on TOPSIS and soft set theory. Eraslan & Karaaslan (2015) introduced a DM TOPSIS technique based on a fuzzy soft environment. Ashtiani et al. (2009) and Mokhtarian (2015) extended TOPSIS method to interval-valued fuzzy sets.
A comprehensive review of security threats and solutions for the online social networks industry
Insider threat An insider threat is a malicious threat in which the attacker is a known individual to the user or any organization. On OSN attacker can be a friend or any person close to the user, know about the id and password of the user, and login into the victim’s account in an authorized way. When an attacker gets the authorization of the victim’s account, they use all information like the victim’s private information, a friend list, or information about their friends.
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