Modified EDAS method for MCDM in robotic agrifarming with picture fuzzy soft Dombi aggregation operators

Dhumras, Himanshu; Bajaj, Rakesh Kumar

doi:10.1007/s00500-023-07927-1

Cited by 21 publications

(6 citation statements)

References 32 publications

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“…To handle such situations, we try to resolve different complicated genuine real-life applications and also expand discussed strategies under different fuzzy domains such as t-spherical fuzzy hypersoft theory [48], spherical and t-spherical fuzzy sets [49]. We can also utilize it to resolve numerous decision algorithms of the TOPSIS method [50], WASPAS method [51], EDAS method [52], and VIKOR method [53].…”

Section: Discussionmentioning

confidence: 99%

Decision Algorithm for Interval Valued Intuitionistic Fuzzy Heronian Mean Aggregation Operators Based on Aczel Alsina T-Norm

Zhang,

Ali,

Hussain

et al. 2024

IEEE Access

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Multi-Attribute Decision Making (MADM) is a powerful tool for navigating complex decision problems by systematically considering multiple criteria and alternatives. This method is widely used in various fields such as business, engineering, finance, and public policy, where decisions involve considering multiple conflicting objectives. An interval-valued intuitionistic fuzzy set is a more flexible mathematical model used to aggregate vague type and redundant information into a single set. By exploring the robustness of Aczel Alsina aggregation operators, we deduce an effective mathematical approach for handling ambiguous information of human opinion. To express the relationship among input arguments or attribute information, we study a feasible theory of Hamy mean (HM) operators. This article presents some dominant mathematical approaches in the light of interval-valued intuitionistic fuzzy (IVIF) information with Aczel Alsina operations including IVIF Aczel Alsina HM (IVIFAAHM), IVIF Aczel Alsina weighted HM (IVIFAAWHM), IVIF Aczel Alsina Dual HM (IVIFAADHM) and IVIF Aczel Alsina weighted Dual HM (IVIFAAWDHM) operators. To prove the validity and effectiveness of derived approaches, some prominent characteristics are also illustrated. A decision algorithm of the MADM technique is also established to resolve complicated real-life applications and amplifications. With the help of numerical examples, we show the compatibility of diagnosed mathematical approaches. Finally, the influence study and comparison technique also verify the consistency of pioneered approaches by contrasting the aggregated outcomes of previous operators that exist in the literature.INDEX TERMS Interval-valued intuitionistic fuzzy values, Hamy mean operators, Aczel Alsina operations, and decision support system.

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Section: Discussionmentioning

confidence: 99%

Decision Algorithm for Interval Valued Intuitionistic Fuzzy Heronian Mean Aggregation Operators Based on Aczel Alsina T-Norm

Zhang,

Ali,

Hussain

et al. 2024

IEEE Access

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“…Some typical MADM methods combined with the cloud model are summarized in Table 1. The CRITIC method, a well-known multi-attribute decision-making technique proposed by Diakoulaki, was developed to calculate the relative importance of attributes and alternatives in decision-making processes [24]. CRITIC takes into account the standard deviation (S.D.)…”

Section: Motivation For Developing a Cloud Model-based Critic-edasmentioning

confidence: 99%

“…Therefore, EDAS utilizes two distance measures named positive distance from average value and negative distance from average value to determine the ranking order. As it provides a robust ranking of alternatives, a simple algorithm and calculation swiftness, EDAS has turned into one of the popular and frequently used method to efficiently tackle realistic complex decision-making problems, and been extended by implementing different uncertainty sets, such as fuzzy sets [38], probabilistic hesitant fuzzy sets [19], q-rung orthopair fuzzy sets [39], linguistic intuitionistic fuzzy sets [40], picture fuzzy soft sets [24], and interval-type 2 fuzzy sets [41], as listed in Table 3. However, all the extended EDAS models only represent uncertainties such as fuzziness, imprecision and vagueness, and they cannot handle decision-making problems with fuzziness as well as randomness.…”

Section: Motivation For Developing a Cloud Model-based Critic-edasmentioning

confidence: 99%

“…Fuzzy sets Supplier selection [16] Probabilistic hesitant fuzzy sets Selection of commercial vehicles and green suppliers [20] Q-rung orthopair fuzzy sets Supplier selection in the defense industry [24] Linguistic intuitionistic fuzzy sets Selection of houses and travel destinations [21] Picture fuzzy soft sets Robotic agrifarming [24] Interval-type 2 fuzzy sets Route selection of petroleum transportation [30] 1.…”

Section: Environments Applications Referencementioning

confidence: 99%

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A Cloud Model-Based CRITIC-EDAS Decision-Making Approach with Linguistic Information for Marine Ranching Site Selection

Li,

Sun

2024

Water

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Modern marine ranching construction has drawn growing attention of relevant planning authorities and enterprises with the potential value of oceans becoming apparent. To satisfy the demand for a successful marine ranching construction, site selection is considered as the first and fundamental procedure. This work aims to help planning authorities find the optimal marine ranching site by introducing a methodological evaluation framework for solving this critical problem. Firstly, the advanced CRiteria Importance Through Inter-criteria Correlation (CRITIC) method is extended by using a cloud model to determine the relative importance of attributes in marine ranching site selection problems. Secondly, the Evaluation based on Distance from Average Solution (EDAS) method is developed by integration with the cloud model to obtain the ranks of alternative sites for marine ranching construction. The proposed cloud model-based CRITIC-EDAS method considers the fuzziness and randomness of the linguistic terms given by experts simultaneously to ensure the scientificity and rationality of decision making. Finally, a real-world marine ranching site selection problem is solved by using the proposed model, where the efficiency and reliability of the proposed model are verified according to the comparison with other traditional multi-attribute decision-making methods.

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“…All trials of the researchers are going on and for best solutions. The picture FSS (PFSS) initiated by Dhumras and Bajaj 15 .…”

Section: Introductionmentioning

confidence: 99%

Interval-valued bipolar complex fuzzy soft sets and their applications in decision making

Jaleel,

Mahmood,

Emam

et al. 2024

Sci Rep

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In this manuscript we demonstrate interval-valued bipolar complex fuzzy set (IVBCFS) and then interval-valued bipolar complex fuzzy soft set (IVBCFSS), as a generalization of fuzzy set, interval-valued fuzzy set, bipolar fuzzy set, complex fuzzy set and soft set. We also initiate operational laws and basic results and properties for IVBCFS and IVBCFSS. Further explanation is given for the basic algebraic operations like complement, extended union, extended intersection, restricted union, and restricted intersection, AND product and OR product for IVBCFSS. Moreover, we demonstrate some fundamental aggregation operators like IVBCFS average aggregation, IVBCFS geometric and as well as their properties. To emphasize the usefulness and application of the system, we also develop the decision-making method and joint instances of the IVBCFSS (set-ups 1 and 2). In order to describe the effectiveness and influence of the approaching novel work, this study uses a comparative analysis of the new creating concept with prevailing ideas.

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Modified EDAS method for MCDM in robotic agrifarming with picture fuzzy soft Dombi aggregation operators

Cited by 21 publications

References 32 publications

Decision Algorithm for Interval Valued Intuitionistic Fuzzy Heronian Mean Aggregation Operators Based on Aczel Alsina T-Norm

Decision Algorithm for Interval Valued Intuitionistic Fuzzy Heronian Mean Aggregation Operators Based on Aczel Alsina T-Norm

A Cloud Model-Based CRITIC-EDAS Decision-Making Approach with Linguistic Information for Marine Ranching Site Selection

Interval-valued bipolar complex fuzzy soft sets and their applications in decision making

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