Some new hybrid hesitant fuzzy weighted aggregation operators based on Archimedean and Dombi operations for multi-attribute decision making

Saha, Abhijit; Dutta, Dipak Kumar; Kar, Samarjit

doi:10.1007/s00521-020-05623-x

Cited by 43 publications

(22 citation statements)

References 36 publications

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“…Ashraf and Abdullah [32] proposed emergency decision support modeling for COVID-19 and also introduced spherical AOs and their application in MCDM [33]. Saha et al [34] introduced new hybrid hesitant fuzzy weighted AOs depend on Archimedean and Dombi operations. Farid and Riaz [35] also introduced Einstein interactive geometric AOs with application to MCDM for q-ROFNs.…”

Section: Mcdm Based Uncertain Data Modelingmentioning

confidence: 99%

Cost Effective Indoor HVAC Energy Efficiency Monitoring based on Intelligent Decision Support System under Fermatean Fuzzy Framework

et al. 2022

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The heating, ventilation, and air conditioning (HVAC) control system is in charge of the building's energy efficiency. Indoor energy consumption trends can be intelligently monitored and minimized. Occupancy data is essential for saving a significant amount of energy. This energy footprint can play an important part in modern smart buildings to improve indoor green environments while lowering costs. Traditional energy monitoring and control systems can be enhanced by installing an occupancy monitoring system, which consists of a network of sensors and cameras. In this paper, we offer a novel and innovative convolutional neural network (CNN) based on real-time camera occupancy detection and recognition algorithms across various types of sensors, which provides realistic low-cost energy-saving solutions with robust graphical processing units (GPUs). Decision-making tools can be used to select the appropriate occupancy detection and recognition alternative for indoor environment and energy monitoring and management. In this research work, we develop the "Fermatean fuzzy prioritized weighted average (FFPWA) operator and Fermatean fuzzy prioritized weighted geometric (FFPWG) operator". In the end, we give an algorithm for an intelligent decision support system (IDSS) using proposed AOs to compare our CNN based method with other existing sensors techniques.

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Section: Mcdm Based Uncertain Data Modelingmentioning

confidence: 99%

Cost Effective Indoor HVAC Energy Efficiency Monitoring based on Intelligent Decision Support System under Fermatean Fuzzy Framework

et al. 2022

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“…Ashraf and Abdullah 47 introduced spherical aggregation operators and their application in multiattribute group decision‐making. Saha et al 48 introduced new hybrid hesitant fuzzy weighted aggregation operators based on Archimedean and Dombi operations for multiattribute decision making. Saha et al 49 proposed MADM using q‐rung orthopair fuzzy weighted fairly aggregation operators.…”

Section: Introductionmentioning

confidence: 99%

Some generalized q‐rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws

Farid

Riaz

2021

Int J of Intelligent Sys

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The q-rung orthopair sets (q-ROFSs) is an extended version of conventional orthopair fuzzy sets, such as intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The most appealing feature of q-ROFSs is that they provide a wider range of reasonable membership grades and offer decision makers (DMs) more q q w w w w w w w w w (7) FARID AND RIAZ | 7247How to cite this article: Farid HMA, Riaz M. Some generalized q-rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws. Int

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“…Saha et al. ( 2021 ) developed some hybrid hesitant fuzzy weighted aggregation operators and presented a procedure of MADM based on the proposed operators under a hesitant fuzzy environment. Krishankumar et al.…”

Section: Introductionmentioning

confidence: 99%

“…Mishra et al (2021) introduced a novel divergence measure for hesitant fuzzy sets to identify the key challenges of medical decision making during the COVID-19 pandemic. Saha et al (2021) developed some hybrid hesitant fuzzy weighted aggregation operators and presented a procedure of MADM based on the proposed operators under a hesitant fuzzy environment. Krishankumar et al (2021a) proposed a new decision framework under a double-hierarchy hesitant fuzzy linguistic term set context for rational decision making and validated the applicability of this term set by solving the green supplier selection problem.…”

Section: Introductionmentioning

confidence: 99%

Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis

et al. 2021

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To objectively evaluate the influence of hesitant fuzziness on the ranking of alternatives in multi-attribute decision making with hesitant fuzzy or probabilistic hesitant fuzzy information, the binary connection number of set pair analysis is applied to hesitant fuzzy multi-attribute decision making. The hesitant or probabilistic hesitant fuzzy set is transformed to the binary connection number. A hesitant fuzzy multi-attribute decision making model based on binary connection number is then established. Binary connection number theory is utilized to obtain the hesitant fuzzy center and decision-making suggestions about the alternative ranking under different hesitant fuzzy conditions. Experimental examples show that the hesitant fuzzy multi-attribute decision making model based on binary connection number has a certain versatility. It can determine the optimal scheme under the influence of hesitant fuzziness on the alternative ranking and contains the results of the same hesitant fuzzy decision-making problem using other methods, which helps in targeted decision making according to different hesitant fuzzy conditions.

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Some new hybrid hesitant fuzzy weighted aggregation operators based on Archimedean and Dombi operations for multi-attribute decision making

Cited by 43 publications

References 36 publications

Cost Effective Indoor HVAC Energy Efficiency Monitoring based on Intelligent Decision Support System under Fermatean Fuzzy Framework

Cost Effective Indoor HVAC Energy Efficiency Monitoring based on Intelligent Decision Support System under Fermatean Fuzzy Framework

Some generalized q‐rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws

Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis

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