Information Measures-Based Multi-criteria Decision-Making Problems for Interval-Valued Intuitionistic Fuzzy Environment

Rani, Pratibha; Jain, Divya

doi:10.1007/s40010-019-00597-5

Cited by 13 publications

(9 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, IVIFSs can handle imprecise and uncertainty information in different application areas. Because IVIFS can effectively solve the decision-making problem with uncertainty and fuzziness, a few previous studies have taken this approach in the field of sustainable development (Rani et al, 2018(Rani et al, , 2021Rani and Jain, 2020). However, efforts to integrating the projection approach and IVIFS for evaluating and examining 3PRLPs seem to be very limited.…”

Section: Contribution and Objective Of The Studymentioning

confidence: 99%

Sustainable third-party reverse logistics provider selection to promote circular economy using new uncertain interval-valued intuitionistic fuzzy-projection model

Chen

Duan

Mishra

et al. 2021

JEIM

View full text Add to dashboard Cite

PurposeThis study caries a survey approach using the expert's interview and literature to select the important criteria to select and evaluate the third-party reverse logistics providers (3PRLPs) in manufacturing companies. In total, 16 criteria are selected to evaluate 3PRLPs, and these criteria are classified on the basis of three main elements of sustainable growth, including economic, social and environmental development. Therefore, a hybrid decision-making approach is utilized to evaluate and rank the 3PRLPs in manufacturing companies.Design/methodology/approachThis paper proposes a new decision-making approach using the projection model and entropy method under the interval-valued intuitionistic fuzzy set to assess 3PRLPs based on sustainability perspectives. A survey approach using the literature review and experts' interview is conducted to select the important criteria to select and evaluate 3PRLPs in manufacturing companies. To assess the criteria weight, the entropy method is used. Further, the projection model is applied to prioritize the 3PRLPs option. Sensitivity analysis and comparison process are performed in order to test and validate the developed method.FindingsThe presented methodology uses the benefits to determine the former for measuring the parameters considered and the latter for rating the 3PRLPs alternatives. A case study is taken to 3PRLPs in the manufacturing industry to illustrate the efficiency of the introduced hybrid method. The findings of this study indicate that when facing uncertainties of input and qualitative data, the proposed solution delivers more viable performance and therefore is suitable for wider uses.Originality/valueThe conception of the circular economy (CE) comes from the last 4 decades, and in recent years, tremendous attention has been carried out on this concept, partially because of the availability of natural resources in the world and changes in consumption behaviour of developed and developing nations. Remarkably, the sustainable supply chain management concepts are established parallel to the CE foundations, grown in industrial practice and ecology literature for a long time. In fact, to reduce the environmental concerns, sustainable supply chain management seeks to diminish the materials' flow and minimize the unintentional harmful consequences of consumption and production processes. Customers and governments are becoming increasingly aware of the environmental sustainability in the CE era, which allows businesses to concentrate more resources on reverse logistics (RLs). However, most manufacturing enterprises have been inspired to outsource their RL operations to competent 3PRLPs due to limited resources and technological limitations. In RL outsourcing practices, the selection of the best 3PRLP is helpfully valuable due to its potential to increase the economic viability of enterprises and boost their long-term growth.

show abstract

Section: Contribution and Objective Of The Studymentioning

confidence: 99%

Sustainable third-party reverse logistics provider selection to promote circular economy using new uncertain interval-valued intuitionistic fuzzy-projection model

Chen

Duan

Mishra

et al. 2021

JEIM

View full text Add to dashboard Cite

show abstract

“…Chaurasiya and Jain (2021) proposed MARCOS method on IFSs. The authors have applied the predictable MCDM method in various fields (Rani & Jain, 2019;Petrovic et al, 2019;Eiegwa, 2020;Mishra et al, 2021;Li et al, 2022;Yildirim & Yildirim, 2022).…”

Section: Introductionmentioning

confidence: 99%

Hybrid MCDM method on pythagorean fuzzy set and its application

Chaurasiya

Jain

2023

Decis. Mak. Appl. Manag. Eng.

View full text Add to dashboard Cite

Here in this article, a hybrid MCDM method on the Pythagorean fuzzy-environment is presented. This method is based on the Pythagorean Fuzzy Method based on Removal Effects of Criterion (PF-MEREC) and Stepwise Weight Assessment Ratio Analysis (SWARA) approaches. Here, the objective and subjective weights are assessed by PF-MEREC, SWARA model and the preference order ranking of the various alternatives is done through Complex Proportional Assessment (COPRAS) framework on the Pythagorean fuzzy set (PFS). The proposed method is the hybrid model of MEREC, SWARA and COPRAS methods. Further, the proposed model is used to identify the best banking management software (BMS) so that the bank can choose the robust bank management software tool to enhance its efficiency and excellence. Thereafter, a comparative discussion and sensitivity analysis of the proposed model is done with the existing techniques to judge the reasonability and efficiency of the proposed model.

show abstract

“…Jain (2022, 2022a) are proposed entropy measure on PFS for healthcare waste treatment. (Rani and Jain 2019;Rahman et al 2018) presented different kinds of entropy measure for PFSs and their usage in MCDM issues. Similarly, some methods are used to find out the objective criterion weights (OCWs).…”

Section: Introductionmentioning

confidence: 99%

Pythagorean Fuzzy MCDM Method in Renewable Energy Resources Assessment

Chaurasiya

Jain

2023

Preprint

Self Cite

View full text Add to dashboard Cite

In the current paper a novel entropy measure is proposed on PFSs. Subsequently, presented an integrated PF-SWARA-MARCOS technique for ranking the selection best alternative in MCDM problems. the objective weights are evaluated by combined entropy and score function, and subjective criteria weights are evaluated using to SWARA approach and MARCOS technique is used to rank the alternatives on PFS. At the present, the choice of suitable renewable energy resources is an enormously important challenge that has an impact on both environmental and commercial growth. To deal with the concern, several authors have concentrated on selecting a necessary energy resource by adopting a decision-making method based on numerous Pythagorean fuzzy set (PFS) methodologies. Here, in this article a methodology is the presented to identify the best RERs. A comparative discussion and analysis are presented to performance the reasonableness and consistency of the technique established to rank optimal renewable energy alternatives.

show abstract

Information Measures-Based Multi-criteria Decision-Making Problems for Interval-Valued Intuitionistic Fuzzy Environment

Cited by 13 publications

References 42 publications

Sustainable third-party reverse logistics provider selection to promote circular economy using new uncertain interval-valued intuitionistic fuzzy-projection model

Sustainable third-party reverse logistics provider selection to promote circular economy using new uncertain interval-valued intuitionistic fuzzy-projection model

Hybrid MCDM method on pythagorean fuzzy set and its application

Pythagorean Fuzzy MCDM Method in Renewable Energy Resources Assessment

Contact Info

Product

Resources

About