Analysis of Solar Energy Generation Capacity Using Hesitant Fuzzy Cognitive Maps

Çoban, Veysel; Onar, Sezi Çevik

doi:10.2991/ijcis.2017.10.1.76

Cited by 8 publications

(8 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By reviewing the existing research on FCM method, several extensions of the method have been developed to deal with the uncertainty of complex systems (Iakovidis and Papageorgiou [13]; Papageorgiou and Iakovidis [22]; Çoban and Onar [23]; Salmeron [21]). However, the majority of these approaches neglect the hesitancy in the expression of the concept values and the influence between the concepts.…”

Section: Discussionmentioning

confidence: 99%

“…Iakovidis and Papageorgiou [13,22] proposed intuitionistic fuzzy cognitive maps (IFCMs), which combine intuitionistic fuzzy sets (IFSs) and FCMs. Çoban and Onar [23] presented an approach to FCMs within the context of hesitant fuzzy linguistic environment (i.e., hesitant fuzzy linguistic cognitive maps (HFLCMs)). Through reviewing the literature, we can find that most of the above extensions are utilized to model the uncertainties inherent in the evaluation process.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Approach to Fuzzy Cognitive Map Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System

Wang¹,

Zhang²,

Jia-shu³

2019

IJCIS

View full text Add to dashboard Cite

Electric power industry has been undergoing enormous transformations. Therefore, it is necessary to improve the security of electric power system and the decision capacity in the emergency process. As a complicated system, electric power system is affected by many factors, the reasoning of which can be regarded as a process that combines intuition and cognition. Uncertainty characterizes human cognitive and reasoning processes. Several extensions of fuzzy cognitive map (FCM) model have been suggested to handle multifarious sources of uncertainty. Nevertheless, the uncertainty from human doubt may arise in the assignment of membership degrees, which is neglected in current FCMs. To deal with this problem, a novel approach based on hesitant fuzzy sets (HFSs) and FCMs, called hesitant fuzzy cognitive maps (HFCMs), is presented in this paper. The proposed method, which possesses the features of tackling hesitancy explicitly during the experts' assessments, is demonstrated by an example on the analysis of risk factors affecting electric power system. It can provide a better simulation of the inherent uncertainty in real problems through the hesitancy represented in experts' knowledge, and a what-if analysis for describing hesitant fuzzy scenario is well developed with the HFCM model.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Fuzzy Cognitive Map Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System

Wang¹,

Zhang²,

Jia-shu³

2019

IJCIS

View full text Add to dashboard Cite

show abstract

“…In addition, many extensions of FSs, such as intuitionistic fuzzy sets [28], hesitant fuzzy sets [29] etc., are being investigated. Based on the extensions of FSs, some extended FCMs models are constructed, such as intuitionistic fuzzy cognitive maps [30,31], hesitant fuzzy linguistic cognitive maps (HFL-CMs) [32], hesitant fuzzy cognitive maps [33] and so on. Besides, grey system theory (GST), as another method for portraying uncertainty, was proposed by Julong [34] Deng.…”

Section: Fuzzy Cognitive Mapsmentioning

confidence: 99%

“…The directed edges not only represent the causal relationships from starting point to ending point but also their weight. Hesitant fuzzy linguistic cognitive maps (HFLCMs), as an important extension of classical FCMs model, is presented by Çoban and Onar [32]. To intuitively demonstrate the model and its principles, a simple HFLCMs model is shown in Fig.…”

Section: A Simple Hesitant Fuzzy Linguistic Cognitive Maps Modelmentioning

confidence: 99%

Probabilistic linguistic fuzzy cognitive maps: applications to the critical factors affecting the health of rural older adults

Chen²,

Wang

et al. 2022

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

Background Achieving healthy ageing has become the only way for China to alleviate the pressure of ageing, especially in rural areas. However, the factors affecting the health of rural older adults are numerous and complex. It is important to identify the critical factors that affecting the health of older adults in rural areas and provide decision-making support for targeted health interventions. Methods To overcome some limitations of existing works, an extended probabilistic linguistic fuzzy cognitive map model is proposed in this paper as a useful tool for modeling the cause-effect relationship between factors. The proposed model integrates the advantages of probabilistic linguistic term sets and fuzzy cognitive maps. In the end, to rank and identify the critical factors affecting the health, a novel similarity measure based on Euclidean distance and Z-mapping function is proposed. Results The proposed model can effectively deal with the uncertainty of experts and reflect different opinions of groups well. In terms of representing uncertainty and ambiguity, the proposed method outperforms other models in modeling complex systems. In the real-world case analysis, we find that education is the most important factor affecting the health of rural older adults, followed by previous occupational experiences, psychology, and physical exercise, among other things. Intergenerational relationship has become another important factor affecting the health of rural older adults in China as the development of Chinese society. Conclusions From a macro perspective, social economic status, living environment, lifestyle, and health management, are the variables that have the greatest impact on the health of rural older adults. As a result, providing more precise health interventions with the characteristics of factors influencing health is a crucial guarantee for preserving and improving the health of rural older adults in China.

show abstract

“…Salmeron [40] proposed fuzzy grey cognitive maps (FGCMs) based on grey systems theory. Çoban and Onar [41] put forward an approach to FCMs under hesitant fuzzy linguistic environment called hesitant fuzzy linguistic cognitive maps (HFLCMs). Ghaderi et al [42] and Liu et al [43] proposed new FCMs called hesitant fuzzy cognitive maps (HFCMs), respectively.…”

Section: Introductionmentioning

confidence: 99%

New Framework for FCMs Using Dual Hesitant Fuzzy Sets with an Analysis of Risk Factors in Emergency Event

Wang¹,

Wu²,

Garg³

2020

IJCIS

View full text Add to dashboard Cite

As a kind of soft computing tool with strong knowledge representation and causal reasoning ability, fuzzy cognitive maps (FCMs) is a product of fuzzy logic and neural network. A limitation of the current FCMs method is its inability to model the uncertainty that is introduced into a complex system due to the hesitancy of people. Dual hesitant fuzzy sets (DHFSs), which considers the membership and nonmembership degrees by a set of possible values respectively, is an effective tool to model the hesitancy and epistemic uncertainty. Thus, a novel extension of FCMs model called dual hesitant fuzzy cognitive maps (DHFCMs) is proposed in this paper. Firstly, motivated by the idea of Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) method, a new similarity measure based on dual hesitant fuzzy distance measure is put forward, and its properties are also discussed. Then, detailed procedure and algorithm for DHFCMs are specified. Moreover, the application steps of the proposed method are provided. Finally, a case study on the huge explosion at Tianjin Port in China in 2015 is given to illustrate the rationality and effectiveness of the proposed method.

show abstract

Analysis of Solar Energy Generation Capacity Using Hesitant Fuzzy Cognitive Maps

Cited by 8 publications

References 32 publications

A Novel Approach to Fuzzy Cognitive Map Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System

A Novel Approach to Fuzzy Cognitive Map Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System

Probabilistic linguistic fuzzy cognitive maps: applications to the critical factors affecting the health of rural older adults

New Framework for FCMs Using Dual Hesitant Fuzzy Sets with an Analysis of Risk Factors in Emergency Event

Contact Info

Product

Resources

About