Optimal Decision-Making in an Opportunistic Sensing Problem

Mikesell, Derek; Griffin, Christopher

doi:10.1109/tcyb.2015.2502421

Cited by 5 publications

(4 citation statements)

References 33 publications

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“…e definition of the score function can be mathematically described as equation (2). Generally, the score value of the CPLS represents the final evaluation result.…”

Section: E Continuously Probabilistic Linguistic Setmentioning

confidence: 99%

“…e only difference is that the value range is 0 ≤ S(L) ≤ 1 for any ordinary CPLS, while the value range will be −1 ≤ S(L d ) ≤ 1 for the special CPLS. For example, the special score value of the above example can be calculated according to equation (2), and the result is as follows:…”

Section: E Subtraction Between Any Two Cplssmentioning

confidence: 99%

“…e order of the alternatives can be denoted as ψ 2 01 > ψ 3 01 > ψ 4 01 > ψ 1 01 according to the values of EPCs; therefore, the alternative A 2 is the most appropriate alternative at the time point T 0 , and it will be implemented immediately.…”

Section: E Processingmentioning

confidence: 99%

“…There are several different descriptions for the definition of decision-making. Simon believes that decision-making is essentially management [ 1 ]; Mikesell and Griffin, management professors, point out that decision-making is a process in which an appropriate alternative will be selected from multiple alternatives [ 2 ]; the American scholars Ebers and Maurer believe that decision-making should also include all activities, which must be carried out before making the final decision [ 3 ]. Generally speaking, decision-making is regarded as the process in which individuals or groups make appropriate decisions for specific goals.…”

Section: Introductionmentioning

confidence: 99%

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A Closed-Loop Method for Multiperiod Intelligent Information Processing with Cost Constraints under the Fuzzy Environment

Wang

Cao

et al. 2022

Computational Intelligence and Neuroscience

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From trivial matters in life to major scientific projects related to the fate of mankind, decision-making is everywhere. Whether high-quality decisions can be made often directly affects the development of affairs, especially when sudden disasters occur. As the basis of decision-making, data are crucial. The continuously probabilistic linguistic set, a data structure of the fuzzy mathematics, is selected in the paper to collect original data after careful comparisons, because this data structure can fully consider the hesitation of decision-makers and the fuzziness of complex problems. Although all alternatives are costly, the costs of different alternatives still vary greatly; obviously, the low-cost alternative is better than others when the same predetermined goal can be achieved, which is one of the research objectives and characteristics of this paper. Different from other researchers who only take the cost as one of the decision-making indicators, the algorithm proposed in the paper pays much more attention on the cost reduction. When dealing with an emergency, it is often difficult to solve the problem by taking measures only once; usually, multiple rounds of measures are needed. Each round of decision-making has both connections and differences, and the multiround decision-making model is proposed and built in the paper. Different from traditional linear structures, the model mainly adopts the closed-loop structure, which divides the whole process into multiple sub-decision-making points, the severities measured at the current time point will be compared with the values estimated at the latter time point, and then, the differences will be input into the system, the corresponding automatic adjustment modules will be activated immediately according to the values. The accuracy of the system can be verified and adjusted in time by the closed-loop control module. Finally, several experiments are carried out and the results show that the algorithm proposed in the paper is more effective and the cost is lower.

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“…e definition of the score function can be mathematically described as equation (2). Generally, the score value of the CPLS represents the final evaluation result.…”

Section: E Continuously Probabilistic Linguistic Setmentioning

confidence: 99%

Section: E Subtraction Between Any Two Cplssmentioning

confidence: 99%

Section: E Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Closed-Loop Method for Multiperiod Intelligent Information Processing with Cost Constraints under the Fuzzy Environment

Wang

Cao

et al. 2022

Computational Intelligence and Neuroscience

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Clutaxis: an information-driven source search method balancing exploration and exploitation in turbulent environments

Guo,

Zhao,

et al. 2024

Journal of Safety Science and Resilience

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A Sampling-Based Bayesian Approach for Cooperative Multiagent Online Search With Resource Constraints

Xiao

Cui

2018

IEEE Trans. Cybern.

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This paper presents a cooperative multiagent search algorithm to solve the problem of searching for a target on a 2-D plane under multiple constraints. A Bayesian framework is used to update the local probability density functions (PDFs) of the target when the agents obtain observation information. To obtain the global PDF used for decision making, a sampling-based logarithmic opinion pool algorithm is proposed to fuse the local PDFs, and a particle sampling approach is used to represent the continuous PDF. Then the Gaussian mixture model (GMM) is applied to reconstitute the global PDF from the particles, and a weighted expectation maximization algorithm is presented to estimate the parameters of the GMM. Furthermore, we propose an optimization objective which aims to guide agents to find the target with less resource consumptions, and to keep the resource consumption of each agent balanced simultaneously. To this end, a utility function-based optimization problem is put forward, and it is solved by a gradient-based approach. Several contrastive simulations demonstrate that compared with other existing approaches, the proposed one uses less overall resources and shows a better performance of balancing the resource consumption.

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Optimal Decision-Making in an Opportunistic Sensing Problem

Cited by 5 publications

References 33 publications

A Closed-Loop Method for Multiperiod Intelligent Information Processing with Cost Constraints under the Fuzzy Environment

A Closed-Loop Method for Multiperiod Intelligent Information Processing with Cost Constraints under the Fuzzy Environment

Clutaxis: an information-driven source search method balancing exploration and exploitation in turbulent environments

A Sampling-Based Bayesian Approach for Cooperative Multiagent Online Search With Resource Constraints

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