Norm-dist Monte-Carlo integrative method for the improvement of fuzzy analytic hierarchy process

Wicaksono, Fermi Dwi; Arshad, Yusri; Sihombing, Haeryip

doi:10.1016/j.heliyon.2020.e03607

Cited by 12 publications

(5 citation statements)

References 44 publications

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Section: Methodsmentioning

confidence: 99%

“…Triangular fuzzy numbers are the most used and numbers are specified with the help of three real numbers (l, m, u). The real number values (l, m, u) containing the triangular number are l, m and n as the smallest probable value, the most probable number, the largest probable value, respectively (Wicaksono et al , 2020; Table 3).…”

Section: Methodsmentioning

confidence: 99%

“…In AHP, all comparisons are not included, and thus, to find the priority of one decision variable over other, triangular fuzzy numbers are used (Biswas et al , 2018). A number of researches presented the integrative fuzzy logic, but there is no reference mentioning the utilization of a normal distribution as an integrative method with FHAP (Wicaksono et al , 2020). AHP has few limitations as follows: The AHP technique is used for creating crisp decisions and is approximate for the ranking of alternatives; and the decision-maker evaluates the choices on the basis of ambiguity and their assessment on qualitative attributes is often subjective (Gnanavelbabu and Arunagiri, 2018; Table 2).…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Multi-criteria analysis of social isolation barriers amid COVID-19 using fuzzy AHP

Upadhyay¹,

Juneja

Maggu

et al. 2021

WJE

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Purpose The purpose of current analytical work is to identify the critical barriers in social isolation in India amid Coronavirus infection disease (COVID) outbreak using the fuzzy-analytical hierarchical process (AHP) method. Design/methodology/approach The conventional AHP is insufficient for tackling the vague nature of linguistic assessment. Fuzzy AHP had been developed to resolve the hierarchical fuzzy problems, avoiding its risks on performance. In AHP, all comparisons are not included; thus, to find the priority of one decision variable over other, triangular fuzzy numbers are used. Findings A total of eight critical barriers in social distancing in India during COVID-19 have been compared and ranked. Dense population has emerged as the most culpable barrier in social isolation in India amid COVID outbreak followed by compulsion for pecuniary earning and general incautiousness. A total of eight critical barriers in social distancing in India during COVID-19 in four categories (societal barriers, insufficient facilitation barriers, growth-related barriers and population related barriers) have been compared and ranked. Originality/value On the basis of the numeral values, “growth-related barriers” attained top position followed by “population-related barriers” and “insufficient facilitation barriers.” The current work has explored the possible factors which can become key game changers to control the pace of spread of the pandemic.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Multi-criteria analysis of social isolation barriers amid COVID-19 using fuzzy AHP

Upadhyay¹,

Juneja

Maggu

et al. 2021

WJE

View full text Add to dashboard Cite

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“…Triangular fuzzy numbers are settled with the three real numbers (l, m, u), consisting of the triangle numbers "l", "m", and "n" as the least, the most, and the largest probable value, respectively [16] (Table 3).…”

Section: Methodsmentioning

confidence: 99%

Exploration of Crucial Factors Involved in Plants Development Using the Fuzzy AHP Method

Upadhyay¹,

Juneja²,

Turabieh

et al. 2022

Mathematical Problems in Engineering

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Remarkable changes in the environment have been impacting the production ability of plants. Few variation strategies are available to adapt for the outcomes of environmental changes such as maximum and minimum temperature in the development phase of the plants. A large portion of the plants expresses affectability to saltiness of the dirt. Considering the tediousness of various kinds, it is needful to perceive the possible obstructions in plants development. However, it has been observed that critical factors in plants development are required to be explored. The prime objective of this current work is for analysis of the chosen critical factors in plants development. Nine critical factors in plants development are shortlisted from the extensive literature reviewing in three categories, “climate factors”, “terrestrial factors”, and “human factors” with the help of experts’ inputs. Fuzzy analytical hierarchy process (FAHP) methodology has been selected for ranking of critical factors in plants development. Raw information is gathered from an online survey from twenty-five botanists, academicians, researchers, and agriculture scientists. The results may become very helpful in the strategy in developing efficient planning for dealing with critical factors in plants development.

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“…The Monte Carlo method can randomly simulate the dynamic relationship among various variables and estimate the distribution of model results through repeated simulation to solve several complex problems with uncertainty [25]. In recent years, this method has often been used in conjunction with other methods, such as with Fermi DwiWicaksono et al [26], who coupled the FAHP and Monte Carlo methods and proposed a new multi-criteria decision analysis method based on the Normative Monte Carlo Fuzzy Analytic Hierarchy Process (NMCFAHP), which combined the fuzziness of judgment with probability uncertainty and cognitive uncertainty. This study also combines system dynamics and Monte Carlo method to study WECC in Fushun region.…”

Section: Wecc Evaluation Modelmentioning

confidence: 99%

Uncertain Water Environment Carrying Capacity Simulation Based on the Monte Carlo Method–System Dynamics Model: A Case Study of Fushun City

Wang

Zhan

Wang

2020

IJERPH

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Water environment carrying capacity (WECC) is an effective indicator that can help resolve the contradiction between social and economic development and water environment pollution. Considering the complexity of the water environment and socioeconomic systems in Northeast China, this study establishes an evaluation index system and a system dynamics (SD) model of WECC in Fushun City, Liaoning, China, through the combination of the fuzzy analytic hierarchy process and SD. In consideration of the uncertainty of the future development of society, the Monte Carlo and scenario analysis methods are used to simulate the WECC of Fushun City. Results show that if the current social development mode is maintained, then the WECC in Fushun will have a slow improvement in the future, and a “general” carrying state with a WECC index of 0.566 in 2025 will be developed. Moreover, focusing on economic development (Scheme 1 with a WECC index of [0.22, 0.45] in 2025) or environmental protection (Scheme 2 with a WECC index of [0.48, 0.68] in 2025) cannot effectively improve the local water environment. Only by combining the two coordinated development modes (Scheme 3) can WECC be significantly improved and achieve “general” or “good” carrying state with a WECC index of [0.59, 0.79]. An important development of this study is that the probability of each scheme’s realization can be calculated after different schemes are formulated. In turn, the feasibility of the scheme will be evaluated after knowing the probability, so as to determine the path suitable for local development. This is of great significance for future urban planning.

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Norm-dist Monte-Carlo integrative method for the improvement of fuzzy analytic hierarchy process

Cited by 12 publications

References 44 publications

Multi-criteria analysis of social isolation barriers amid COVID-19 using fuzzy AHP

Multi-criteria analysis of social isolation barriers amid COVID-19 using fuzzy AHP

Exploration of Crucial Factors Involved in Plants Development Using the Fuzzy AHP Method

Uncertain Water Environment Carrying Capacity Simulation Based on the Monte Carlo Method–System Dynamics Model: A Case Study of Fushun City

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