Evaluating solar power plant sites using integrated GIS and MCDM methods: a case study in Kermanshah Province by Iman Zandi, Aynaz Lotfata

Subjects: Get full text

Applying the Dempster–Shafer Fusion Theory to Combine Independent Land-Use Maps: A Case Study on the Mapping of Oil Palm Plantations in Sumatra, Indonesia by Carl Bethuel, Damien Arvor, Thomas Corpetti, Julia Hélie, Adrià Descals, David Gaveau, Cécile Chéron-Bessou, Jérémie Gignoux, Samuel Corgne

“…We assessed the potential of the Dempster–Shafer Theory (DST) to enhance oil palm mapping in Sumatra (Indonesia) by combining four land-cover maps, hereafter named DESCALS, IIASA, XU, and MAPBIOMAS, according to the first author’s name or the research group that published it. …”
Get full text

Weighted evidence combination method based on power-Pignistic probability distance by Jingwei ZHU, Xiaodan WANG, Yafei SONG, Wenlong HUANG

“…To deal with the shortcomings encountered when using the existing similarity/dissimilarity measures to quantify evidence conflict,a new dissimilarity measure called power-Pignistic probability distance was defined.Furthermore,a weighted evidence combination method was proposed based on power-Pignistic probability distance.The conflict degree between two pieces of evidence was quantified by the power-Pignistic probability distance.After that,a similarity measure matrix was constructed,based on which the credibility of evidence was obtained.Then the weighted average method was used to revise the evidence.Finally,the fusion was accomplished by using Dempster’s rule.The results of the numerical examples show the efficiency and rationality of the proposed method.…”
Get full text

Evidence combination based on the degree of credibility and falsity by ONGYa-fei S, ANGXiao-dan W, EILei L, UEAi-jun X

“…D-S evidence theory has been widely used in various fields of information fusion due to its efficiency in deal-ing with uncertain information.Unfortunately,combination of conflicting evidences by classical Dempster's rule may produce counter-intuitive results.To alleviate this problem,a new weighted average combination rule is proposed.Defi-nitions of correlation coefficient was first presented,followed by the introduction of falsity.Then the credibility of evi-dence is proposed.A new weighted coefficient is determined by credibility and falsity.To achieve convergence,the nor-malized weighted coefficient was suggested into the Dempster's combination rule to average the basic probability as-signment.Comparable numerical examples demonstrate that the proposed approach can combine conflicting evidences more effectively.Moreover,the proposed methodology can provide a faster identification of the observed object.…”
Get full text

An Advanced Uncertainty Measure Using Fuzzy Soft Sets: Application to Decision-Making Problems by Nitin Bhardwaj, Pallvi Sharma

“…In the last, we use Dempster’s rule of combination to fuse independent parameters into integrated one. …”
Get full text

Weighted evidence combination based on degree of credibility and certainty by Lu WANG, Qing-hua XING, Yi-fan MAO

“…To overcome the invalidation problem of Dempster rule with high conflict,a weighted combination method based on degree of credibility and certainty was proposed.Firstly,the cosine similarity was modified to hold the ability to measure the evidence conflict when multi-subset focal elements were included,followed by the building of evidence credibility model.Secondly,the evidence certainty model based on precision and entropy was presented,which can both reflect the evidence’s degree of multi-subset focal elements and the dispersion degree of probability assignment.Then the weighted coefficient was determined by credibility and certainty.Finally,the normalized weighted coefficient was used to average the basic probability assignment,and the final combination result can be obtained according to Dempster rule.Numerical examples show that,compared with other traditional weighted combination methods,the proposed approach has made better performance in reducing conflict and accelerating convergence.…”
Get full text

Evidence combination method based on Pignistic function transformation and correlation coefficient by Xiaoping YANG, Weijian LIAN, Mengjie LI, Zhihong QIAN

“…The situation of high conflict between evidences and one ballot veto cannot be solved by classical D-S rule,and the results obtained from classical D-S rule are contrary to the facts.To solve this problem,a new standard to measure conflicts between evidences was proposed based on the combination of Pignistic function transformation and correlation coefficient,and also a novel kind of weighted combination method which was applied to measure conflicts between evidences was put forward according to the standard.After that,a support matrix was constructed based from which the credibility of evidence was obtained,and the weighted average method was used to revise the evidence.Finally,the combination was accomplished by using Dempster’s rule.The result of numerical examples shows that it’s effective to solve the combination of conflicting evidence.Compared with other methods,the proposed method has good astringency.…”
Get full text

An improved method to determine basic probability assignment with interval number and its application in classification by Bowen Qin, Fuyuan Xiao

“…Then, the differentiation degree based on distance and similarity of interval number between the test sample and constructed models are defined to generate basic probability assignment. Finally, Dempster’s combination rule is used to combine multiple basic probability assignments to get the final basic probability assignment. …”
Get full text

Fire Safety Evaluation for Scenic Spots: An Evidential Best-Worst Method by Dongjun Chen, Hongbin Xie

“…Then, these weighted linguistic assessments are efficiently fused by Dempster’s combination rule to obtain the evaluation result. …”
Get full text

Fault diagnosis method based on time domain weighted data aggregation and information fusion by Yu Zhang, Wen Jiang, Xinyang Deng

“…At last, the basic probability assignments generated under each fault feature are fused by Dempster combination rule. The proposed method is verified and the results show that the total fault recognition rate can reach 97.5%, which increased by 1.9% compared with the method that Gaussian model constructed by original data.…”
Get full text

TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning by Xinyang Deng, Qi Liu, Yong Hu, Yong Deng

“…Then, the final prediction result can be obtained by the combination of each individual prediction base on Dempster’s rule of combination. …”
Get full text

Research on alert correlation method based on alert confidence in multi-IDS environment by MEI Hai-bin, GONG Jian

“…To overcome the shortcoming of current alert correlation methods which didn’t consider the confidence of IDS,an alert correlation method based on alerts confidence using the evidence theory was presented.Each alert was regarded as a piece of evidence of a network attack.Then multiple pieces of evidence were combined by the Dempster’s combina-tion rule,and used to infer whether the attack corresponding to the alerts took place.As a result,the ambiguity and con-fliction in alerts were eliminated,achieving the goal of improving alerts quality.Experimental results on the DARPA 2000 IDS test dataset show that the proposed method can efficiently decrease the false alert rate and reduce more than 60% of the alerts.…”
Get full text