Integrated Fuzzy DEA-ANFIS to Measure the Success Effect of Human Resource Spirituality

Taghizadeh‐Yazdi, Mohammadreza; Mozaffari, Mohammad Mahdi; Nazari-Shirkouhi, Salman; Asadzadeh, Seyed Mohammad

doi:10.1080/01969722.2018.1448221

Cited by 10 publications

(5 citation statements)

References 25 publications

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“…The Spiritual Intelligence Scale (S-SI) measured nine aspects which were the ability to be flexible, high level of selfawareness, ability to face and solve problems, ability to overcome painfulness, good quality of life, reluctance to unnecessary harm, holistic view, finding the basic answer "why" or how, and self-contained field (working against convention). (Yazdi et al, 2018). This scale consisted of 28 items with very high reliability (α=0.890).…”

Section: Methodsmentioning

confidence: 99%

The Effect of Spiritual Intelligence and Religious Faith on Self-Regulation

Utami

Mingtio

Muhid

2022

IJIEP

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Most Muslims find it hard to memorize the Qur’an due to certain factors. This research explored the effect of spiritual intelligence and religious faith on self-regulation. Having quantitative design, three instruments were used in this analysis; self-regulation scale (S-SR) (α=0.621), religious faith scale (S-RF) (α=0.986), and spiritual intelligence scale (S-SI) (α=0.890). Four hundred (400) students in the tahfiz Al-Qur’an program from some Islamic boarding schools in Surabaya were selected through purposive sampling. The results from multiple regression showed that spiritual intelligence and religious faith significantly predicted self-regulation. In other words, both spiritual intelligence and religious faith had a positive effect on self-regulation. Besides, spiritual intelligence also positively affected self-regulation. The more positive students assessed their spiritual intelligence, the higher their self-regulation. That self-regulation then made students get more engaged with their activity of memorizing the Quran.

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Section: Methodsmentioning

confidence: 99%

The Effect of Spiritual Intelligence and Religious Faith on Self-Regulation

Utami

Mingtio

Muhid

2022

IJIEP

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“…Also the output membership function in TS is simpler designed as either linear or constant [31,33]. The using of this inference system is more pervasive in ANFIS for modeling problems [34]. Considering two input variables (x, y) and one output (f), the two if-then rules in first-order TS type can be represented as follows:…”

Section: Anfis Fuzzy Neural Logic Systemmentioning

confidence: 99%

Collapsibility Prediction of Stabilized Soil with Styrene-Butadiene Rubber Polymer Using ANFIS

2022

Teh. vjesn.

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Collapsible soils are among the problematic soils in nature that, due to moisture content increasing and under the same stress, show a high rate of decrease in volume. This volume reduction leads to loss of soil structure and ultimately to significant subsidence. Such soils in many parts of the world, including the Kerman province of Iran, necessitate researches regarding the collapsible soils' behavior and characteristics. This study aims to investigate the effect of butadiene rubber on the stabilization of collapsible soils. The tested fine-grained soils that have been sampled from two different sites were stabilized through injecting different percentages of butadiene (the number of experiments was 84). The ASTM D5333 Double-Consolidation Method was applied to examine the stabilized soils on intact soil samples. The results show that the penetrations of butadiene rubber and the formation of butadiene rubber columns have led to a reduction in soil collapse. Considering the development of intelligent systems using the prediction behavior of stabilized collapsible soils, the adaptive neural-fuzzy inference system (ANFIS) model was used to predict the degree of collapsibility of soil samples stabilized by injection of Styrene Butadiene Rubber.

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“…This integration is crucial, as it enhances the current understanding of how organizations can effectively evaluate and select suppliers based on LARGS criteria, ultimately promoting sustainable practices throughout the supply chain. In addition, many scholars have attempted to use MCDM methods combined with classical fuzzy concepts to overcome uncertainties and ambiguities in decision-making problems [12][13][14]. However, since the development of fuzzy methods such as intuitionistic fuzzy sets is an efficient, effective, and flexible method for investigating decision-making problems, the present study intends to use TOPSIS combined with an intuitionistic fuzzy set approach to solve the supplier selection problem by integrating lean, agile, green, resilient, and sustainable aspects of the supply chain.…”

Section: Introductionmentioning

confidence: 99%

Lean, Agile, Resilient, Green, and Sustainable (LARGS) Supplier Selection Using Multi-Criteria Structural Equation Modeling under Fuzzy Environments

Ghazvinian,

Feng,

Feng

et al. 2024

Sustainability

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This study aims to propose an integrated approach for supplier selection based on the lean, agile, resilience, green, and sustainable (LARGS) paradigm. This approach was validated using structural equation modelling (SEM) and the intuitionistic fuzzy TOPSIS method. A comprehensive literature review was conducted, identifying twenty-six criteria, which were then consolidated into five main criteria. A questionnaire was distributed to 237 individuals from manufacturing companies listed on the Tehran Stock Exchange, and the collected data were analyzed using third-order factor analysis and the partial least squares method. Subsequently, the proposed integrated approach was applied to evaluate four suppliers in an intuitionistic fuzzy environment, utilizing expert opinions and a case study on the automotive industry. The results demonstrate the effectiveness and practicality of the proposed approach in terms of prioritizing and selecting suitable suppliers according to LARGS criteria. In conclusion, this study contributes to the existing literature by proposing an integrated approach that addresses the decision-making challenges in supplier selection. This approach offers a practical tool for managers seeking to enhance sustainable supply chain performance from the LARGS perspective.

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Integrated Fuzzy DEA-ANFIS to Measure the Success Effect of Human Resource Spirituality

Cited by 10 publications

References 25 publications

The Effect of Spiritual Intelligence and Religious Faith on Self-Regulation

The Effect of Spiritual Intelligence and Religious Faith on Self-Regulation

Collapsibility Prediction of Stabilized Soil with Styrene-Butadiene Rubber Polymer Using ANFIS

Lean, Agile, Resilient, Green, and Sustainable (LARGS) Supplier Selection Using Multi-Criteria Structural Equation Modeling under Fuzzy Environments

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