Multiobjective nonlinear bipolar neutrosophic optimization and its comparison with existing techniques

Khalil, Sumbal; Smarandache, Florentín; Kousar, Sajida; Freen, Gul

doi:10.1016/b978-0-12-819670-0.00013-5

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…These sets are independently characterized by three grades of memberships named acceptance grade, indeterminacy grade and grade of rejection. Neutrosophic model and its applications have been studied by many analysts with enormous and endless applications [4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Bipolar Interval-Valued Neutrosophic Optimization Model of Integrated Healthcare System

Khalil¹,

Kousar²,

Kausar³

et al. 2022

Computers, Materials &Amp; Continua

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Bipolar Interval-valued neutrosophic set is another generalization of fuzzy set, neutrosophic set, bipolar fuzzy set and bipolar neutrosophic set and thus when applied to the optimization problem handles uncertain data more efficiently and flexibly. Current work is an effort to design a flexible optimization model in the backdrop of interval-valued bipolar neutrosophic sets. Bipolar interval-valued neutrosophic membership grades are picked so that they indicate the restriction of the plausible infringement of the inequalities given in the problem. To prove the adequacy and effectiveness of the method a unified system of sustainable medical healthcare supply chain model with an uncertain figure of product complaints is used. Time, quality and cost are considered as satisfaction level to choose best supplier for medicine procurement. The proposed model ensures 99% satisfaction for cost reduction, 63% satisfaction for the quality of product and 64% satisfaction for total time taken in medicine supply chain.

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Section: Introductionmentioning

confidence: 99%

Bipolar Interval-Valued Neutrosophic Optimization Model of Integrated Healthcare System

Khalil¹,

Kousar²,

Kausar³

et al. 2022

Computers, Materials &Amp; Continua

Self Cite

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An Interval-Valued Intuitionistic Hesitant Fuzzy Methodology and Application

Bharati

2021

New Gener. Comput.

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Using advantages of interval-valued intuitionistic hesitant fuzzy sets (IVIHFS) for describing the hesitant and intuitionistic decisions of experts and identifying the limitations of previous research works about optimization techniques, this paper introduces a new optimization technique and provides a new computational algorithm, applicable in various real life multiobjective optimization problem (MOOP) of engineering and management sectors, and for this, a new operation between IVIHFSs is first introduced. On the basis of this concept, a stepwise computational algorithm is constructed, and it is an extension of both fuzzy and intuitionistic fuzzy optimization techniques. Finally, the proposed algorithm is illustrated using a production planning problem, and the obtained results are compared with the existing optimization techniques.

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