A Novel Approach Based on Intuitionistic Fuzzy Combined Ordered Weighted Averaging Operator for Group Decision Making

Xian, Sidong; Niu, Jing; Li, Tangjin; Chen, Liuxin

doi:10.1142/s0218488518500241

Cited by 5 publications

(2 citation statements)

References 54 publications

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“…The results show that the urbanization level of the province is currently in the process of transformation from grade 2 to grade 3 [16][17]. Wang described the cold tolerance (CTBP) of 22 non-glutinous rice at different low temperature and different treatment days, and proposed the characterization method of CTBP [18]. The variation range and variation range of 22 japonica seedling death rates under 2℃/6 d low temperature treatment were the largest among different treatments at low temperature × treatment day (3×5), and the seedling death rates were reasonably distributed.…”

Section: Introductionmentioning

confidence: 99%

Entropy Weight Fuzzy Comprehensive Evaluation in Screening of Japonica Rice Quality

2022

AJAS

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More than half of the world's population is dominated by rice. In the context of reduced cultivated land and increasingly scarce water resources, increasing rice production has become an urgent problem in order to meet the needs of world's growing population. On the basis of previous work, this paper combines the entropy weight method with the fuzzy comprehensive evaluation method to expand the method of comprehensive evaluation of rice quality. The main purpose is to establish an entropy weight fuzzy comprehensive evaluation model and apply it to comprehensive evaluation of rice quality of japonica rice variety in 12 different producing areas. At the same time, identity the marker genotypes of parental yield traits, and found 31 marker genotypes are significantly correlated with the yield of parental yield traits. The two marker genotypes are related to the six traits of the parent; two marker genotypes are related to the 5 traits of parental at the same time; there are four marker genotypes associated with the four traits of the male parent; There are five marker genotypes associated with maternal features; there are three marker genotypes associated with the parental and maternal genetic traits; There are 15 marker genotypes associated with parental traits of individual traits. The marker genotype of the RM23~150/160 was positive for 4 genotype effects. The number of per panicle, daily yield per plant, ear length and number of secondary branches increased by 12.1%, 11.3%, 10.4% and 14.9%, respectively. The results showed that the whiteness, different cultivar rate, defect rate and amylose content may be the main indicators affecting differences in quality of various varieties' rice. Among the 12 varieties, the comprehensive quality of Ji japonica in 88 and Ji japonica in 83 was better, evaluation level is I; long white 19 and long white 25 have overall poor quality performance and the evaluation level is V.

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Section: Introductionmentioning

confidence: 99%

Entropy Weight Fuzzy Comprehensive Evaluation in Screening of Japonica Rice Quality

2022

AJAS

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“…The research motivations of the present work can be summarized as following: aggregation operator as a useful tool to aggregate relevant information has been focused and also used in many DMPs. There are many kinds of aggregation operators [11]- [15], [35]- [37], [41], [42], [59]- [61] to deal with IFNs, PFNs or LPFNs. Of course, the most important aspect of aggregation operators is to build operational laws which is on the basis of t-norms (TNs) and t-conorms (TCs).…”

Section: Introductionmentioning

confidence: 99%

Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information

Liu

et al. 2019

IEEE Access

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The purpose of this study is to construct the multi-attribute group decision making (MAGDM) approach with linguistic Pythagorean fuzzy information (LPFI) based on generalized linguistic Pythagorean fuzzy aggregation operators (GLPFA). To begin with, we define the generalized indeterminacy degreepreference distance of linguistic Pythagorean fuzzy numbers (LPFNs), on the basis of it, we build a new approach for ranking the alternatives after analysing the existed comparison rule. In addition, we introduce the new version of t-norms (TNs) and t-conorms (TCs) named linguistic Pythagorean t-norms (LPTNs) and linguistic Pythagorean t-conorms (LPTCs), which can be used to handle the LPFI; some special cases for LPTNs and LPTCs are obtained and they can deal with Pythagorean fuzzy information (PFI). Thirdly, we introduce the generalized linguistic Pythagorean fuzzy average aggregation operator (GLPFAA) based on LPTN and LPTC along with their properties are also investigated, whilst, some special cases of GLPAA are obtained when LPTN and LPTC take some special TNs and TCs. Finally, a MAGDM approach based on some LPTNs and LPTCs is constructed to deal with some MAGDM problems with unknown attributes'weights and experts' weights, before building the MAGDM approach, we define new crossentropy to fix the experts's weights and use the maximizing deviation to calculate the attributes' weights based on the proposed indeterminacy degree-preference distance. Consequently, an illustrative example is provided in order to show the effectiveness and advantages of the proposed method and some comparisons are also carried out.INDEX TERMS Linguistic Pythagorean fuzzy set (LPFS), Linguistic Pythagorean t-norms (LPTNs), linguistic Pythagorean t-conorms (LPTCs), generalized linguistic Pythagorean aggregation operators, generalized indeterminacy degree-preference distance, generalized linguistic Pythagorean cross-entropy.

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Entropy-based circular histogram thresholding for color image segmentation

Kang

Fan

2020

SIViP

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A Novel Approach Based on Intuitionistic Fuzzy Combined Ordered Weighted Averaging Operator for Group Decision Making

Cited by 5 publications

References 54 publications

Entropy Weight Fuzzy Comprehensive Evaluation in Screening of Japonica Rice Quality

Entropy Weight Fuzzy Comprehensive Evaluation in Screening of Japonica Rice Quality

Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information

Entropy-based circular histogram thresholding for color image segmentation

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