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Articles by Ali MI
A robust interval-valued fractional orthopair fuzzy TOPSIS-based decision framework for evaluating blockchain technologies in central bank digital currency systems
The adoption of central bank digital currencies (CBDCs) introduces a complex decision environment in which technological, regulatory, economic, and operational considerations must be evaluated simultaneously. In particular, the selection of an appropriate blockchain platform is a critical task, as it directly affects system scalability, security, interoperability, and long-term sustainability (Joshi, 2025).
LGCFPEL: local-global correlation fusion for probabilistic collective entity linking
In the era of information explosion, the effective organization and efficient retrieval of knowledge have become key driving forces for technological advancement and industrial upgrading. Heterogeneous Information Networks (HINs) (Forouzandeh et al., 2023), as a structured knowledge representation method based on entity-relation-entity triples, have emerged as an important tool for knowledge representation and reasoning due to their ability to model multi-typed entities and relations.
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.
DDoS attack detection in Edge-IIoT digital twin environment using deep learning approach
This section starts with the definition of “DDoS attacks” and includes an in-depth review of previous studies on the subject. The DoS attack is a type of cyber-attack wherein a single host computer floods the server with several requests in order to make its services unavailable. In contrast, DDoS is a special type of DoS attack wherein a server is flooded with a huge volume of unwarranted requests that normally originate from a plethora of geographically dispersed devices known as botnets.
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).
Role of the novel aloe vera-based titanium dioxide bleaching gel on the strength and mineral content of the human tooth enamel with respect to age
Role of the novel aloe vera-based titanium dioxide bleaching gel on the strength and mineral content of the human tooth enamel with respect to age 1Microbiology and Nanotechnology department, Quaid-i-Azam University, Islamabad, Pakistan 2Department of Dental Material Sciences, School of Dentistry, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan 3Islamic International Dental College, Riphah International University, Islamabad, Pakistan 4Department of Materials, National...
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.
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.
Seroprevalence of Toxoplasma gondii infection in women with a gynecological tumor living in eastern China
Additional Information and Declarations Competing Interests The authors declare that they have no competing interests. Author Contributions Zhongjun Wang performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft. Tingting Qu performed the experiments, prepared figures and/or tables, and approved the final draft.
Patterns of acute poisoning- Five year study from National Poison Control Centre, Karachi, Pakistan
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The effect of organics transformation and migration on pore structure of bituminous coal and lignite during biomethane production
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