Intelligent fuzzy decision‐making system of afforestation in new cities: A case study of the New Administrative Capital, Egypt

Abdel‐Basset, Mohamed; Gamal, Abduallah; Teleb, Samir

doi:10.1016/j.iswa.2022.200085

Cited by 3 publications

(3 citation statements)

References 56 publications

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“…The hybrid method introduces a new way of thinking about supply chain risks. Sensitivity analysis is crucial in this situation because it shows how parameter changes impact hybrid model performance [153][154][155][156][157]. This research uses sensitivity analysis for two purposes.…”

Section: Sensitivity Analysis Via Hybrid Sensitivity-optimization Met...mentioning

confidence: 99%

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Aungkulanon,

Atthirawong,

Luangpaiboon

et al. 2024

Mathematics

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Globalization and multinational commerce have increased the dynamism and complexity of supply networks, thereby increasing their susceptibility to disruptions along interconnected supply chains. This study aims to tackle the significant concern of supplier selection disruptions in the Thai agri-food industry as a response to the aforementioned challenges. A novel supplier evaluation system, PROMETHEE II, is suggested; it combines the Fuzzy Analytical Hierarchy Process (FAHP) with inferential statistical techniques. This investigation commences with the identification of critical indicators of risk in the sustainable supply chain via three phases of analysis and 315 surveys of management teams. Exploratory factor analysis (EFA) is utilized to ascertain six supply risk criteria and twenty-three sub-criteria. Following this, the parameters are prioritized by FAHP, whereas four prospective suppliers for an agricultural firm are assessed by PROMETHEE II. By integrating optimization techniques into sensitivity analysis, this hybrid approach improves supplier selection criteria by identifying dependable solutions that are customized to risk scenarios and business objectives. The iterative strategy enhances the resilience of the agri-food supply chain by enabling well-informed decision-making amidst evolving market dynamics and chain risks. In addition, this research helps agricultural and other sectors by providing a systematic approach to selecting low-risk suppliers and delineating critical supply chain risk factors. By bridging complexity and facilitating informed decision-making in supplier selection processes, the results of this study fill a significant void in the academic literature concerning sustainable supply chain risk management.

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Section: Sensitivity Analysis Via Hybrid Sensitivity-optimization Met...mentioning

confidence: 99%

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Aungkulanon,

Atthirawong,

Luangpaiboon

et al. 2024

Mathematics

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“…Here, we identify and extricate the traits of consumer resilience, particularly in emerging markets, by focussing on the theoretical aspects of consumer resilience and we try to observe the influence relations among them through an intelligent influence modelling technique, the grey causal modelling (GCM) approach. Although the use of fuzzy set theory, grey theory, and rough set theory are used for various decision-making methods (Abdel-Basset et al. , 2022), the advantages of the same are not widely used in influence modelling situations.…”

Section: Introductionmentioning

confidence: 99%

Modelling the traits of consumer resilience: implications to emerging markets

Rajesh

2023

MIP

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PurposeThe author identifies the traits of consumer resilience in emerging markets, classifies these major traits into five categories and analyses the influence relationships among them with distinctive focus on the psychological and personal resilience aspects.Design/methodology/approachThe influence relations among the traits of consumer resilience from an expert perspective were identified with typical focus on electronic supply chains, and later the same was analysed through an intelligent influence modelling method, the grey causal modelling (GCM).FindingsThe major traits were analysed using the GCM, where the cause–consequence relations were observed for various objectives and the situational effects are noted. By constructing a magnitude plot and further a causal magnitude table, the important influence traits of consumer resilience for the considered case were observed and the same were auxiliary validated using an interpretive structural modelling (ISM) based approach.Research limitations/implicationsAs perceived from the results, it is evident that social support and recommendations from customers emerge as the principal influence traits of consumer resilience from an expert perspective, considering the case. The study can be further extended empirically to validate the findings.Practical implicationsAltogether, the author can recommend for practitioners that the influence of family, society, friends, peers as well as ratings from the customers can determine the level of consumer resilience. Hence, practitioners of customer relationship management can focus on improving the product and brand awareness among customers, so that more customers may recommend for typical products.Originality/valueConsumer resilience depend on several factors, where the author has identified 25 major traits of the same and classified them into five major categories, including individual psychological factors, individual attitudes, individual socio demographic factors, micro environmental factors and macro environmental factors and the influence relations among them were studied from an expert perspective.

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“…FMCDM is a method that can be used as a decision support tool [20], [21]. Multi-Criteria Decision Making (MCDM) refers to screening, prioritizing, ranking, or selecting alternative sets with independent, proportional, or conflicting conditional criteria.…”

Section: Introductionmentioning

confidence: 99%

Decision Support System for Program Indonesia Pintar Recipients Using the Fuzzy Multi-Criteria Decision-Making Method

Hamid,

Rais,

Rois

et al. 2023

J. Inf. Syst. Explor. Res.

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Program Indonesia Pintar (PIP) is the development of Bantuan Siswa Miskin (BSM) program, which covers students from the learning stages of SD or MI, SMP or MTs, SMA or Sekolah Menengah Kejuruan (SMK), the PIP Program is a National Program that aims to eliminate barriers to poor students participating in studying by helping poor students get access to appropriate learning services, avoiding dropping out of school, attracting poor students to return to study, helping students fulfill their desires in upgrading activities. Through the Program Indonesia Pintar (PIP), school-age children from poor households or families can continue to study, do not drop out of school. No recipients are on the wrong target for assistance from the Smart Indonesia Program at SMP Negri 39 Pekanbaru City. The method used in the decision support system is Fuzzy Multi-Criteria Decision Making (FMCDM) which assesses alternative determinants so that they can be used in policy analysis in decision-making. The results of this decision support will help decide the best choice of several substitutes based on the selected criteria.

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Intelligent fuzzy decision‐making system of afforestation in new cities: A case study of the New Administrative Capital, Egypt

Cited by 3 publications

References 56 publications

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Modelling the traits of consumer resilience: implications to emerging markets

Decision Support System for Program Indonesia Pintar Recipients Using the Fuzzy Multi-Criteria Decision-Making Method

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