Fuzzy comprehensive evaluation for the motion performance of autonomous underwater vehicles

Liu, Yuhong; Fang, Pingping; Bian, Dongdong; Zhang, Hongwei; Wang, Shuxin

doi:10.1016/j.oceaneng.2014.03.013

Cited by 65 publications

(29 citation statements)

References 31 publications

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“…Zadeh, an U.S.expert in control theory [43] , and the contributions of multiple related factors are comprehensively considered according to weight factors, and the fuzziness is decreased by using membership functions [44,45] which is suitable for making decisions in vague and imprecise system. FCE has been widely applied in many fields, such as environmental field [46,47] , agriculture field [43,48] , engineering field [49,50] , and other fields [45,[51][52][53] as well as to solve the fuzzy and difficult to quantify characteristics of the problem [54] . Water quality management is characterized by imprecision in objectives and water quality standards.…”

Section: Assessment Methods Of Surface Watermentioning

confidence: 99%

Hydrochemical Characteristics and Water Quality Assessment of Surface Water at Xiahe County in Tibetan Plateau Pastoral of China

Zhang

Wang

Yousaf

et al. 2016

Preprint

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Water quality assessment in pastoral of Tibetan Plateau, which is water sources for about 40% of world's population and the runoff-yield area of Yellow rivers, is very important. In this paper, Xiahe county which belongs to Tibetan Plateau pastoral was investigated. Six parameters(via, chloride, COD, ammonia nitrogen, nitrate, fluoride, sulfate) were selected to assess the water quality and health degree by using fuzzy comprehensive evaluation methods. The hydrochemical type in surface water was of HCO3 --Mg 2+ -C a2+ type. The cations and anions in surface water were mainly from weathering and dissolution of carbonate rock. Results showed that the water quality in all 69 sampling sites was all of class Ⅰ. The integrated health degree reached more than 0.85 and the health rate were 100%. Although ammonia nitrogen was regarded as the main contamination factor, but it had a little effect on the entire body of water. Overall, the surface water qualities of most samples in Xiahe County was good condition.

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Section: Assessment Methods Of Surface Watermentioning

confidence: 99%

Hydrochemical Characteristics and Water Quality Assessment of Surface Water at Xiahe County in Tibetan Plateau Pastoral of China

Zhang

Wang

Yousaf

et al. 2016

Preprint

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show abstract

“…, and the specific operations of (i) and (ii) were conducted by referring to the available literature (Gao and Fu, 2011;Liu et al, 2014); (iii) the comprehensive evaluation score of each sample was S j = P×B k T =(P 1 P 2 P 3 P 4 )(B k1 B k2 B k3 B k4 ) T , which can be applied to rank competition of sea cucumber. In this study, the weight of the sea cucumber's color, flavor, and flesh elasticity represents the average of the mandatory scoring, sequential evaluation, and statistical evaluation methods.…”

Section: Methodsmentioning

confidence: 99%

Optimization of Processing Technology of Instant Sea Cucumber with Fuzzy Mathematic Comprehensive Evaluation by Response Surface Methodology and Exploration on Nutritional Value of Instant Sea Cucumber

Liu

Sun

Pang

et al. 2016

FSTR

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Fuzzy mathematics was applied to comprehensively evaluate the sensory quality of instant sea cucumber. Color, flavor, and fleshy elasticity were the evaluation factors considered and given with appropriate weights. The optimal conditions for instant sea cucumber were determined using singlefactor and response surface methodology. The optimum processing parameters were as follows: cooking time, 60 min; cooking temperature, 83℃; water-swelling time, 42.5 h; and seasoning concentration, 100%. Under these conditions, the sensory evaluation score was 94.28, which matched well with the predicted value. Moreover, instant sea cucumber can keep its various nutritional values better. It is also found to have a better and nutritionally more beneficial amino acid composition than commercial sea cucumber.

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“…Then the ranking of each factor is normalized according to the number of experts, result of which is the membership of the different criteria corresponding to the sub-indices [10]. For the quantitative factors, because of its physical significance, the original data need to be normalized, and then according to the following formulas to calculate the index membership [11].…”

Section: Determining the Fuzzy Relationship Matrixmentioning

confidence: 99%

The evaluation system of oily drill cuttings treatment technologies based on the fuzzy evaluation method

Huang

Quan³

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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Fuzzy comprehensive evaluation for the motion performance of autonomous underwater vehicles

Cited by 65 publications

References 31 publications

Hydrochemical Characteristics and Water Quality Assessment of Surface Water at Xiahe County in Tibetan Plateau Pastoral of China

Hydrochemical Characteristics and Water Quality Assessment of Surface Water at Xiahe County in Tibetan Plateau Pastoral of China

Optimization of Processing Technology of Instant Sea Cucumber with Fuzzy Mathematic Comprehensive Evaluation by Response Surface Methodology and Exploration on Nutritional Value of Instant Sea Cucumber

The evaluation system of oily drill cuttings treatment technologies based on the fuzzy evaluation method

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