New q-Rung Orthopair Hesitant Fuzzy Decision Making Based on Linear Programming and TOPSIS

Yang, Wei; Pang, Yongfeng

doi:10.1109/access.2020.3043255

Cited by 12 publications

(6 citation statements)

References 75 publications

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“…e Pareto front was then combined with a preference ranking technique of ideal solution similarity (TOPSIS) to determine the ideal point of equilibrium. In the literature, Yang Wei [46] stated that he suggested a linear programming model to calculate attribute weights based on similarity function and the Lagrangian function for ranking using TOPSIS approach and studied the application of the method in the face of known partial attribute weights. In addition to the initial integrated multicriteria decision making (MCDM)-TOPSIS simulation technique, Samala irupathi advocated employing the entropy method to estimate the weights of each parameter.…”

Section: Literature Reviewmentioning

confidence: 99%

Passive Power Filter Optimization Problem Based on Adaptive Multipopulation NSGA-II and CRITIC-TOPSIS

Yuan

Liu

2022

Mathematical Problems in Engineering

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The best configuration of passive filters in extra-high voltage systems is investigated in this study using a two-stage multiobjective decision-making (MODM) framework. A collection of Pareto solutions is found using an adaptive multipopulation-modified nondominated ranking genetic algorithm (AMP NSGA-II) in the first stage. The goals taken into account include the least fundamental reactive power compensation losses, overall cost and maintenance cost, and simultaneous minimum harmonic current distortion rate. The objective weights are determined and the optimum solution is chosen in the second stage using the criteria importance interrelationship (CRITIC) and similarity ranking preference technique (TOPSIS). A number of examples show how the suggested method performs more effectively than the conventional and well-known algorithm and can identify the relationship between the objective functions, indicating that the suggested scheme has better superiority in filters and has a promising future in the solution of multiobjective problems.

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Section: Literature Reviewmentioning

confidence: 99%

Passive Power Filter Optimization Problem Based on Adaptive Multipopulation NSGA-II and CRITIC-TOPSIS

Yuan

Liu

2022

Mathematical Problems in Engineering

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“…Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a well-known approach for solving MADM problems in different uncertain environments. [19][20][21][22][23] Liu 24 proposed a TOPSIS approach for solving a MADM problem in a TrIF environment considering the information about attributes' weights both completely unknown and partially known. Gupta et al 25 extended the TOPSIS approach to solving a MAGDM problem with interval-valued intuitionistic fuzzy numbers and defined a weighted similarity measure to find the relative closeness coefficients for the selection of most suitable alternative.…”

Section: Introductionmentioning

confidence: 99%

“…Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a well‐known approach for solving MADM problems in different uncertain environments 19–23 . Liu 24 proposed a TOPSIS approach for solving a MADM problem in a TrIF environment considering the information about attributes' weights both completely unknown and partially known.…”

Section: Introductionmentioning

confidence: 99%

An MAGDM approach with q‐rung orthopair trapezoidal fuzzy information for waste disposal site selection problem

Gupta

Mehlawat

Ahemad

2021

Int J of Intelligent Sys

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This paper extends q ‐rung orthopair fuzzy numbers into q ‐rung orthopair trapezoidal fuzzy numbers to solve a multiattribute group decision‐making problem. The decision‐makers (DMs) provide some of their assessments in hesitant form, along with hesitancy weights. The basic operations laws, Hamming distance, weighted similarity measure, value and ambiguity indexes, weighted average aggregation operator, and weighted geometric aggregation operator, with their properties, are discussed for these extended fuzzy numbers. The value and ambiguity indexes are used in the Shannon entropy to evaluate the weights of the DMs and attributes'. These weights are then used to aggregate the DMs' assessments in the TOPSIS approach to obtain a weighted similarity measure from both the alternatives' positive and negative ideal solutions. The proposed approach's effectiveness is demonstrated by solving a waste disposal site selection problem. The approach is further validated through the basic properties of multiattribute decision making, comparative analyses, and comparing simulation results with an existing approach.

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“…In the same year Wang et al [21] proposed some power Heronian mean operators under the q-ROHF environment to deal with green supplier selection in supply chain management. Yang and Pang [22] developed a new MADM based on the q-ROHFS, where the linear programming technique for multidimensional analysis of preference (LINMAP) and TOPSIS have been extended to q-ROHF environment in order to handle MADM problems.…”

Section: Introductionmentioning

confidence: 99%

A New Multi Attribute Decision Making Method Based on the T-Spherical Hesitant Fuzzy Sets

Al-Quran

2021

IEEE Access

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In this paper, we first introduce the concept of T-spherical hesitant fuzzy set (T-SHFS) on the basis of the combination of T-spherical fuzzy sets(T-SFSs) and hesitant fuzzy sets (HFSs). This model can provide more accuracy in expressing fuzzy and indeterminate data. Then, we develop the basic operational laws of T-SHFSs and study their properties. Also, we propose the T-spherical hesitant fuzzy weighted averaging (T-SHFWA) operator and the T-spherical hesitant fuzzy weighted geometric (T-SHFWG) operatorand investigate their properties. Furthermore, two newly approaches to multi attribute decision making within the framework of T-SHFS are developed on the basis of the proposed aggregation operators. An illustrative example is given to demonstrate the effectiveness of the developed approaches in dealing with uncertain and indeterminate decision making problems. Finally, the proposed models' performance is evaluated to the existing models. Results from this comparison analysis reveal a great similarity and consistency while using other models.

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New q-Rung Orthopair Hesitant Fuzzy Decision Making Based on Linear Programming and TOPSIS

Cited by 12 publications

References 75 publications

Passive Power Filter Optimization Problem Based on Adaptive Multipopulation NSGA-II and CRITIC-TOPSIS

Passive Power Filter Optimization Problem Based on Adaptive Multipopulation NSGA-II and CRITIC-TOPSIS

An MAGDM approach with q‐rung orthopair trapezoidal fuzzy information for waste disposal site selection problem

A New Multi Attribute Decision Making Method Based on the T-Spherical Hesitant Fuzzy Sets

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