Results 51 to 60 of about 104,332,993 (294)

Aggregation of I-transitive fuzzy relations and fuzzy preference relations

, 2023
Abstract To make a better application of I-transitive fuzzy relations and fuzzy preference relations in uncertainty reasoning and decision-making according to the practical requirement, it is meaningful to investigates the preservation of well-known properties when some I-transitive and fuzzy preference relations are aggregated, respectively ...
Dechao Li, Ying Zhang
openaire   +1 more source

Resolving Nanoscale Heterogeneities in Lead Halide Perovskites Through Low‐Dose Concurrent 4D‐STEM‐EDX Mapping

Advanced Materials, EarlyView.
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu, Alexandra A. Sheader, Mohsen Danaie, David G. Hopkinson, Katherine E. MacArthur, Nakita K. Noel, Christopher S. Allen   +6 more
wiley   +1 more source

A Novel Approach on Decision Support System Based on the Aczel-Alsina Aggregation Operators and Their Applications to Supplier Selection Problems

Journal of Function Spaces, 2022
Induced aggregation operators are more suitable for aggregating the individual preference relations into a collective fuzzy preference relation. Therefore, in this paper, we introduce the notion of some new types of induced aggregation operators, based ...
Yong-Long Wang, Ebenezer Bonyah, Mashael Khayyat, Zubair Ahmad, Muhammad Shakeel, Waris Khan   +5 more
doaj   +1 more source

Some issues on consistency of fuzzy preference relations [PDF]

European Journal of Operational Research, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Enrique Herrera-Viedma, Francisco Herrera, Francisco Chiclana, María Luque   +3 more
openaire   +2 more sources

On the priority vector associated with a fuzzy preference relation and a multiplicative preference relation [PDF]

, 2008
We propose two straightforward methods for deriving the priority vector associated with a fuzzy preference relation. Then, using transformations between multiplicative preference relations and fuzzy preference relations, we study the relationships ...
Fedrizzi, Michele, Brunelli, Matteo
core  

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Multi-attribute group decision making based on hesitant fuzzy sets, TOPSIS method and fuzzy preference relations

Technological and Economic Development of Economy, 2018
Hesitant fuzzy sets (HFSs) are widely applied in pattern recognition, classification, clustering, and multiple attribute decision making. In order to get more accurate decision results, the order relation of HFSs is particularly important. In this paper,
Jibin Lan, Mian Yang, Mingming Hu, Fang Liu   +3 more
doaj   +1 more source

Product selection by consumers utilizing the membership values

Knowledge Management & E-Learning: An International Journal, 2023
Assessment and assortment of the most favorable, competent, and trustworthy products is getting to be more and more important for businesses in the current scenario, so the majority of the production industries do their utmost to achieve the requirements,
Suprava Devi, Mitali Madhusmita Nayak, Srikanta Patnaik   +2 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Fuzzy Ideal Based Computational Approach for Group Decision Making Problems

Fuzzy Information and Engineering, 2017
In this paper, we present a computational method to fuzzy group decision making problems. A function that satisfies the properties of fuzzy ideal of semiring of positive integers is also investigated in the present paper and is used for idealizing the ...
Sanjay Kumar, Deepa Joshi
doaj   +1 more source