Results 51 to 60 of about 156,340 (282)

On Fuzzy Soft Set-Valued Maps with Application

Journal of Nigerian Society of Physical Sciences, 2020
Soft set and fuzzy soft set theories are proposed as mathematical tools for dealing with uncertainties. There has been tremendous progress concerning the extensions of these theories from different point of views of researchers so as to accommodate more ...
Shehu Shagari Mohammed
doaj   +1 more source

Application of m- polar soft fuzzy bi- partite graph in residence selection process

Ratio Mathematica, 2023
An $m-$polar fuzzy set and soft sets are two different tools for representing uncertainty and vagueness. An $m-$polar soft fuzzy set is a mapping from parameter set to the $m-$polar fuzzy subsets of the universe.
S Ramkumar, R Sridevi
doaj   +1 more source

Data-driven Soft Sensors in the Process Industry [PDF]

, 2009
In the last two decades Soft Sensors established themselves as a valuable alternative to the traditional means for the acquisition of critical process variables, process monitoring and other tasks which are related to process control.
Abdi, Alhoniemi, Angelov, Angelov, Angelov, Arazo-Bravo, Atkeson, Bastin, Bauer, Bishop, Bogdan Gabrys, Bonne, Breiman, Bro, Casali, Chen, Chen, Chen, Chen, Chen, Choi, Chruy, Davies, Dayal, De Wolf, Desai, Devogelaere, Ding, Dong, Dong, Dote, Doyle, Dunia, Dunia, Dunia, Eriksson, Fellner, Fortuna, Fortuna, Frank, Freund, Funahashi, Gabrielsson, Gabrys, Gabrys, Gabrys, Gabrys, Gama, Geladi, Gomez, Gonzalez, Gonzalez, Goodwin, Gosset, Guyon, Han, Hastie, He, Hodge, Hotelling, Jackson, James, Jang, Jiang, Jolliffe, Jordaan, Jos de Assis, Kadlec, Kadlec, Kalos, Kampjarvi, Kittler, Kohavi, Kohonen, Kordon, Kourti, Kourti, Krogh, Kuncheva, Lee, Lee, Lee, Lee, Li, Li, Lin, Lin, Luo, Macias, Mandic, Marjanovic, Meleiro, Menold, Nauck, Neogi, Nomikos, Nomikos, Nomikos, Opitz, Park, Pearson, Pearson, Petr Kadlec, Poggio, Prasad, Principe, Qin, Qin, Qin, Qin, Radhakrishnan, Rnnar, Rong, Rotem, Ruta, Ruta, Schafer, Scheffer, Serneels, Sibylle Strandt, Stanimirova, Su, Tzanakou, van Sprang, van Sprang, Vapnik, Venkatasubramanian, Venkatasubramanian, Venkatasubramanian, Vilalta, Walczak, Walczak, Walczak, Wang, Wang, Wang, Wang, Warne, Weiss, Widmer, Wold, Wold, Wold, Wolpert, Yan, Yang, Zadeh, Zamprogna, Zamprogna, Zhang   +149 more
core   +1 more source

Bipolar Complex Fuzzy Soft Sets and Their Applications in Decision-Making

Mathematics, 2022
This article introduces the notion of bipolar complex fuzzy soft set as a generalization of bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary operations for bipolar complex fuzzy soft sets such as complement, union ...
Tahir Mahmood, Ubaid Ur Rehman, Abdul Jaleel, Jabbar Ahmmad, Ronnason Chinram   +4 more
doaj   +1 more source

Soft ranking in clustering [PDF]

, 2009
Due to the diffusion of large-dimensional data sets (e.g., in DNA microarray or document organization and retrieval applications), there is a growing interest in clustering methods based on a proximity matrix. These have the advantage of being based on a
Aggarwal, Alon, Bortolan, Francesco Masulli, Kaufman, Kruskal, Maurizio Filippone, Ng, Pękalska, Rovetta, Shawe-Taylor, Shepard, Shepard, Sokal, Stefano Rovetta, Wang, Wang, Ward   +17 more
core   +1 more source

A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment [PDF]

Yugoslav Journal of Operations Research
In scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial.
Asghar Ali, Khan Khuram Ali, Rahman Atiqe Ur   +2 more
doaj   +1 more source

On Generalised Interval‐Valued Fuzzy Soft Sets [PDF]

Journal of Applied Mathematics, 2012
Soft set theory, initiated by Molodtsov, can be used as a new mathematical tool for dealing with imprecise, vague, and uncertain problems. In this paper, the concepts of two types of generalised interval‐valued fuzzy soft set are proposed and their basic properties are studied.
Zhou, Xiaoqiang, Li, Qingguo, Guo, Lankun   +2 more
openaire   +4 more sources

A Hesitant Soft Fuzzy Rough Set and its Applications

IEEE Access, 2019
The difficulty of establishing a common membership degree is not because there is a margin of error or some possibility distribution values, but because there is a set of possible values.
Ting Xie, Zengtai Gong
doaj   +1 more source

Hybrid integrated decision-making algorithm for clustering analysis based on a bipolar complex fuzzy and soft sets

Alexandria Engineering Journal, 2023
Data clustering is an instrumental tool in the area of energy management resources, marketing, and business. Clustering helps to increase productivity, facilitate decision-making, and generate new business opportunities.
Jeonghwan Gwak, Harish Garg, Naeem Jan
doaj   +1 more source

Stoma‐Shell Nanoarchitecture for Enhanced Plasma Confinement Catalysis in Synthesis of Ethanol from CO2

Advanced Functional Materials, EarlyView.
High‐energy electron impact in plasma catalysis often causes excessive dissociation of active intermediates, limiting C2+ product selectivity. To address this challenge, a bio‐inspired stoma‐shell nanoarchitecture is designed to decouple electron impact from catalytic reaction zones.
Nan Zou, Zhiliang Dong, Tsun‐Kong Sham, Xiaonian Li, Ying Zheng, Ting Qiu   +5 more
wiley   +1 more source