A new approach of utility function based on fractional Gini aggregation operator for intelligent access web selection

Ibrahim, Rabha W.

doi:10.1007/s42452-019-1003-5

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…But some of them are tested only on specific database, and that makes it hard to participate for the decision which algorithm to apply for different situations. To address this problem, a wide range of existing MM algorithms survey is given in [37,38]. Based on the main techniques, one will put them in different categories and compare them through experiments of real-world and artificial dataset with different characteristics.…”

Section: Algorithmsmentioning

confidence: 99%

Study of fuzzy logic and particle swarm methods in map matching algorithm

Gupta

Shanker

2020

SN Appl. Sci.

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Navigation system is used in deploying the real-time position of vehicles on the map of route with the help of Global Positioning System (GPS). However, the imprecision is included in the map of route due to erroneous GPS signal (i.e., inclusion of errors related to receiver and/or propagation). Also, the current navigation system involves dense road network areas having higher probability of imprecise inputs. The map matching (MM) method requires capability of inherent tolerant to these imprecise inputs and is capable of suggesting certain vehicles more likely to run on one specific link than other links in navigation system. The fuzzy inference system (FIS)-based technique converting the qualitative terms into quantitative values is very effective to deal with human intervention and linguistic vagueness in MM algorithms. In case of highly unreliable positioning errors included in MM, the particle swarm optimization (PSO) is used as an option for continuously updating sensor information to find vehicle motion and respective route link on map. This has directed us to do the comparative study of both the above two methods with the other methods. Simulation results show that FIS-and PSO-based MM algorithm significantly outperforms the previous algorithms in terms of running time, accuracy and recall.

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Section: Algorithmsmentioning

confidence: 99%

Study of fuzzy logic and particle swarm methods in map matching algorithm

Gupta

Shanker

2020

SN Appl. Sci.

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“…Important theoretical and policy concerns consist of the balance between income majorization inequality and economic growth, and their often-inverse association. Moreover, the Gini coefficient measures the inequality among the values of a frequency distribution (for example, levels of income) [14]. A Gini coefficient of zero states perfect equality, where all values are the same (for example, where everyone has the same income) [15].…”

Section: Introductionmentioning

confidence: 99%

Entire solutions of a class of algebraic Briot–Bouquet differential equations utilizing majority concept

Ibrahim

Băleanu

2020

Adv Differ Equ

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In this effort, the analytic solution of a class of algebraic Briot–Bouquet differential equations (ABBDE) in the open unit disk is investigated by making use of a major theory. The class is presented by the formula $$\begin{aligned}& \alpha _{1}\varphi ^{\prime 3}(z) + \alpha _{2} \varphi ^{ ' 2} (z) \varphi (z) + \alpha _{3} \varphi ^{\prime } (z) \varphi ^{2} (z) +\aleph ^{k}_{\varphi }(z) = 0, \\& \aleph ^{k}_{\varphi }(z):= a_{k} \varphi ^{k}(z)+a_{k-1} \varphi ^{k-1}(z)+\cdots+ a_{1} \varphi (z)+ a_{0}. \end{aligned}$$ α 1 φ ′ 3 ( z ) + α 2 φ 2 ′ ( z ) φ ( z ) + α 3 φ ′ ( z ) φ 2 ( z ) + ℵ φ k ( z ) = 0 , ℵ φ k ( z ) : = a k φ k ( z ) + a k − 1 φ k − 1 ( z ) + ⋯ + a 1 φ ( z ) + a 0 . The conformal analysis (angle-preserving) of the ABBDEs is considered. Analytic outcomes of the ABBDEs are indicated by employing the major method. Some special cases are investigated.

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