22 papers · ranked by Valyu relevance
Ömer Karakoç, Samet Memiş, Bahar Sennaroglu, Rajesh Kumar
This study provides a comprehensive evaluation and classification of 35 soft decision-making (SDM) algorithms based on fuzzy parameterized fuzzy soft matrices (fpfs-matrices). Although fpfs-matrices offer a strong mathematical framework for modeling uncertainty, there has been a lack of large-scale comparisons of their…
Athar Kharal
Notions of core, support, and inversion of a soft set have been defined and studied. Soft approximations are soft sets developed through core and support and are used for granulating the soft space. Membership structure of a soft set has been probed in and many interesting properties are presented. We present a new…
Arzu Erdem, Çiğdem Gündüz Aras, Ayşe Sönmez, Hüseyi̇n Çakallı
In this paper, we introduce a concept of a soft matrix on a soft multiset, and investigate how to use soft matrices to solve decision making problems. An algorithm for a multiple choose selection problem is also provided. Finally, we demonstrate an illustrative example to show the decision making steps.
Lulu Ding, Kun Wang, Hongmei Zhang, Shaohui Xie + 5 more
DNA storage offers exceptional information density and archival longevity, but is constrained by the complex, heterogeneous errors inherent to synthesis, storage, and sequencing. Conventional error-correction schemes often rely on excessive logical redundancy to mitigate these biochemical imperfections, thereby…
Ningxin Xie, Guoqiu Wen, Zhaowen Li
A method based on grey relational analysis and D-S theory of evidence is proposed for fuzzy soft sets in decision making. Firstly, grey relational analysis is used to calculate grey mean relational degrees and determine uncertain degrees of parameters. Then based on uncertain degrees, suitable mass functions of…
Arindam Chaudhuri, Kajal De, Dipak Chatterjee
The Fuzzy Modeling has been applied in a wide variety of fields such as Engineering and Management Sciences and Social Sciences to solve a number Decision Making Problems which involve impreciseness, uncertainty and vagueness in data. In particular, applications of this Modeling technique in Decision Making Problems…
İrfan Deli̇, Naim Çağman
In this work, we first define relations on the fuzzy parametrized soft sets and study their properties. We also give a decision making method based on these relations. In approximate reasoning, relations on the fuzzy parametrized soft sets have shown to be of a primordial importance. Finally, the method is successfully…
Muhammad Zeeshan, Madad Khan, Ramsha Shafqat, Ali Althobaiti + 2 more
'Saad Althobaiti' 'Tola Bekene Bedada'] Complex fuzzy soft matrices play a crucial role in various applications, including decision-making, pattern recognition, signals processing, and image processing. The main objective of this study is to introduce the unique notions of complex Pythagorean fuzzy soft matrices…
Masresha Wassie Woldie, Jejaw Demamu Mebrat, Mihret Alamneh Taye
Background Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalised fuzzy soft set and its applications. However, to the best of the author’s knowledge, the generalised fuzzy soft set has not been dealing…
Xuechong Guan
In this paper, a new kind of soft sets related with some common decision making problems in real life called central soft sets is introduced. Properties of some basic operations on central soft sets are shown. It is investigated that some classic operations between soft sets can be obtained by central soft sets with…
Liu Wenjun, Li Qingguo
Combining rough sets and fuzzy soft sets, we propose an algorithm to obtain the optimal decision program. In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each parameter according to rough set theory; thirdly, combining subjective bias…
Douglas G. Lee, Giovanni Pezzulo
Sequential sampling models of choice, such as the drift-diffusion model (DDM), are frequently fit to empirical data to account for a variety of effects related to choice accuracy/consistency and response time (RT). Sometimes, these models include extensions that can also account for choice confidence. However, no model…
Ali Mousavi Fard
Cancer cell is a deadly problem which is the main cause of global death. Unfortunately, the conventional therapies like chemo/radio therapy are not viable ways to remove all of the cancer cells. Although Robotic achievements have been increased in cancer therapy, these devices do not have the decision-making ability to…
C. Schreiweis, M. Euvrard, E. Burguière, J. Daunizeau
Decisions permeate every aspect of our lives - what to eat, where to live, etc. - but the amount of effort that we put into different decisions varies tremendously. Rather than processing all decision-relevant information, we often rely on fast habitual and/or intuitive decision policies, which can lead to irrational…
Camilla Kao, Che-I Kao
Recently we proposed that mission statements incorporating the concept of reducing uncertainty could provide a framework for learning the bread and depth of information that exists about health and safety. We briefly explained the definition of uncertainty in the context of health and safety, with the unifying…
K. Barc, C. Schreiweis, M. Euvrard, J. Mattout + 2 more
Decisions permeate every aspect of our lives (what to eat, where to live, etc) but decision-making policies seem to vary tremendously across time and across individuals. Rather than processing all decision-relevant information, we often rely on fast habitual and/or intuitive decision policies, which can lead to…
Jie Chen, Hengrui Zhang, Carolin Wahl, Wei Liu + 4 more
A bottleneck in high-throughput nanomaterials discovery is the pace at which new materials can be structurally characterized. Although current machine learning (ML) methods show promise for the automated processing of electron diffraction patterns (DPs), they fail in high-throughput experiments where DPs are collected…
Raquel Lopez-Rios de Castro, Alejandro Santana-Bonilla, Robert M. Ziolek, Christian D. Lorenz
Molecular dynamics simulations have become an essential tool in the study of soft matter and biological macromolecules. The large amount of high-dimensional data produced by such simulations does not immediately elucidate the atomistic mechanisms that underlie complex materials and molecular processes. Analysis of…
Vivek Hari Sridhar, Liang Li, Dan Gorbonos, Máté Nagy + 4 more
Choosing among spatially-distributed options is a central challenge for animals, from deciding among alternative potential food sources or refuges, to choosing with whom to associate. Using an integrated theoretical and experimental approach (employing immersive virtual reality), we consider the interplay between…
Sandun Dasanayake, Jouni Markkula, Sanja Aaramaa, Markku Oivo
Architecture decision making is considered one of the most challenging cognitive tasks in software development. The objective of this study is to explore the state of the practice of architecture decision making in software teams, including the role of the architect and the associated challenges. An exploratory case…
J.A. Bergstra
Decision taking is discussed in the context of the role it may play for various types of agents, and it is contrasted with action determination. Some remarks are made about the role of decision taking and action determination in the ongoing debate concerning the reverse polder development of the hertogin Hedwige…
Yi-Hong Lin, Chih-Ning Tsai, Po-Feng Chen, Yen-Tzu Lin + 5 more
Scanning electrochemical microscopy (SECM) is one of the scanning probe techniques that has attracted considerable attention because of its ability to interrogate surface morphology or electrochemical reactivity. However, the quality of SECM images generally depends on the sizes of the electrodes and many…