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Modeling in Biomathematics: Demographic Fuzziness
This chapter explores the notion of demographic fuzziness in modeling of bio-mathematical phenomena. The concept of demographic fuzziness is...
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Introducing You to Fuzziness
Computational system modelling is full of ambiguous situations, wherein the designer cannot decide, with precision, what should be the outcome of the...
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New weighted travel time function considering uncertainty and fuzziness based on fuzzy soft set and its application in user equilibrium assignment
Travel time estimation or prediction is of great significance to intelligent transportation systems. Apparently, many factors have a significant...
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Discounted Cash Flow Computation Under Fuzziness
In this chapter, we show how the classical terms of engineering economy can be handled under fuzziness. First, we extend the classical operations by...
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Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference
We study the impact of fuzziness on the behavior of Fuzzy Rule-Based Classifiers (FRBCs) defined by trapezoidal fuzzy sets forming Strong Fuzzy...
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Decision-Making Under Fuzziness
The phenomenon of decision-making holds paramount significance within human behavior, signifying the act of selecting a singular course of action...
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Fuzziness on Interconnection Networks Under Ratio Labelling
Investigation of interconnection networks like circulant network, hypercubes Q(n), cube connected cycles CCC(n), butterfly network BF(n), beans...
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Review of Descriptive Analytics Under Fuzziness
Business Analytics is one of the business management methods that deals with descriptive models which create meaningful insights to support and...
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Group decision on rationalizing disease analysis using novel distance measure on Pythagorean fuzziness
Despite the fact that several technologies have been developed to assist healthcare workers in reducing errors and improving accuracy in illness...
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Finding Fuzziness in Neural Network Models of Language Processing
Humans often communicate by using imprecise language, suggesting that fuzzy concepts with unclear boundaries are prevalent in language use. In this...
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Fundamental Fuzziness: The Imperfect Perfection
This chapter unfolds the central concept of blurs or fuzziness from the side of FL as well as from the side of art, especially music, and thus forms,...
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Credibility-based fuzziness and incomplete information value in fuzzy programming
The research shows that traditional possibility measure has defects in dealing with fuzzy programming, while the credibility measure with...
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Regularity and Paracompactness: Relation in the Field of Fuzziness
The importance of paracompactness (and the concepts related to it) in the field of Topology is well known. In this paper we obtain two...
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Intuitionistic Fuzziness, Standard and Extended Modality
Ever since the first publication over intuitionistic fuzziness, the two standard modal operators “necessity” (...
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On Intuitionistic Fuzziness
In the present work we try to provide an overview of the main results related to intiuitionistic fuzzy sets and related concepts contributed by...
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Roughness and Fuzziness
Csajbók, Zoltán Ernő Ködmön, JózsefBetween roughness and fuzziness, the rough membership function may establish a...
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An efficient fuzziness based contiguous node refining scheme with cross-layer routing path in WSN
In the applications of Wireless Sensor Network, sensor nodes broadcast the data towards the destination. Localization is considered as the most...
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How to Tackle Difficult to Understand Phenomena. Fuzziness, Cognitivity, Memory
In worlds that are compatible with the assumption that we have overall visibility of it and the m data we observe appear without any constriction, so...
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A novel evaluation model based on connection cloud model and game theory under multiple uncertainties
Under uncertainty, the evaluation inevitably involves the randomness and fuzziness of indexes and weighting. Although the normal cloud model can...
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Impact of Fuzziness Measures on the Performance of Semi-supervised Learning
Usage of fuzziness in the study of semi-supervised learning is relatively new. In this study, the divide-and-conquer strategy is used to investigate...
