Automatic construction of FCMs

Schneider, M.; Shnaider, Eli; Kandel, Abraham; Chew, G.

doi:10.1016/s0165-0114(96)00218-7

Cited by 127 publications

(36 citation statements)

References 3 publications

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“…Source: Kok (2009: 125) In terms of limitations, and in accordance with Schneider et al (1998) and Özesmi, U. and Özesmi, S. (2004), decision-makers' ignorance and misconceptions are also coded in the maps. Additionally: (1) the problem can be modeled as FCM but this does not guarantee its resolution; (2) the map may not be able to model the occurrence of multiple causes; (3) the FCMs do not provide the actual value, but estimates of parameters or inferential statistical tests; and (4) FCMs are not clear as far as the concept of time is concerned.…”

Section: Fig 2 Fcm Stabilization and Value Convergence Pointsmentioning

confidence: 99%

A Fuzzy Knowledge-Based Framework for Risk Assessment of Residential Real Estate Investments

Ribeiro¹,

Ferreira

Jalali

et al. 2017

Technological and Economic Development of Economy

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Abstract. Risk analysis of residential real estate investments requires careful analysis of certain variables (or determinants). Because real estate is a key sector for economic and social development, this risk analysis is seen as critical in supporting decision processes relating to buying or selling residential properties, partly due to the pressures caused by the current economic environment. This study aims to develop a conceptual reference model for risk assessment of residential real estate using fuzzy cognitive mapping. This fuzzy model allows cause-and-effect relationships between determinants to be identified and better understood, which in turn allows for better informed investment decisions. The results show that the use of cognitive maps reduces the number of omitted criteria and favors learning with regard to how the criteria relate to each other, holding great potential and versatility in structuring complex decision problems. Practical implications, strengths and weaknesses of our proposal are discussed.

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Section: Fig 2 Fcm Stabilization and Value Convergence Pointsmentioning

confidence: 99%

A Fuzzy Knowledge-Based Framework for Risk Assessment of Residential Real Estate Investments

Ribeiro¹,

Ferreira

Jalali

et al. 2017

Technological and Economic Development of Economy

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“…The main drawbacks of FCMs are: (i) the respondents' fallacies as misconceptions and biases get encoded in the maps (Özesmi and Özesmi 2004); (ii) FCM simulated results are relative and not real-value parameter estimates (Kim and Lee 1998;Özesmi and Özesmi 2004); (iii) they do not yield data with respect to a timeframe (Schneider et al 1998;Özesmi and Özesmi 2004); and (iv) require a large amount of post-processing time (Diniz et al 2015).…”

Section: Why Fuzzy Cognitive Mapping Approach?mentioning

confidence: 99%

Pathways for drought resilient livelihoods based on people’s perception

Singh

Chudasama

2016

Climatic Change

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Drought is among the most dreaded threats as far as natural disasters are concerned wielding, as it does, a significant impact on ecosystems, people's livelihoods, and the socioeconomic development of a country. A significantly large geographic area of India happens to be drought prone. In order to understand people's response to the impacts of drought and their coping strategies, it is crucial to understand their perceptions. Studies investigating community perceptions relevant to drought impacts and concomitant adaptive behaviours are rare in India. This paper documents communities' perceptions of impacts of drought on their livelihood assets and adaptation practices. It does this with the help of the fuzzy cognitive mapping approach in the Mahabubnagar district of India's Telangana state. In order to develop pathways for drought resilient livelihoods we ran simulations for future drought scenarios with various bundles of adaptation strategies enabling us to evaluate their effectiveness in providing resilience against drought. The study also tested the suitability of various activation rules and transformation functions, used for running simulations. Incorporating stakeholders' perceptions, knowledge and beliefs about impacts of droughts, and engaging them in the process of developing drought resilient livelihoods is expected to fine-tune the drought related policy-making.

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“…Liu (1999) proposed census FCMs (CFCMs) for decision support in geographic information systems (GIS) and generated a CFCM using real census data, human expert knowledge, and quantitative data as a map in GIS. Schneider, Shnaider, Kandel, & Chew (1998) summarized two drawbacks of conventional FCMs: (1) the lack of a time concept in causal relationships; and (2) concurrency, which requires the simultaneous evaluation of node values in multiple concept nodes. To incorporate the time delay in FCMs, Park & Kim (1995) proposed fuzzy time cognitive maps (FTCM), in which a relationship is allowed to be attached with time delays.…”

Section: Fuzzy Cognitive Mapmentioning

confidence: 99%

“…Hagiwara's (1992) (2003) introduced a decomposition theory for FCMs, proposing a framework for calculating and simplifying causal inference patterns in complicated real-world applications. Schneider, Shnaider, Kandel, & Chew (1998) described a method for automatically constructing FCMs based on user-provided data. This method consists of finding the degree of similarity between any two variables (represented by numerical vectors), finding whether the relationship between the variables is direct or inverse, and using the fuzzy expert system tool (FEST) to determine the causality among the variables.…”

Section: Fuzzy Cognitive Mapmentioning

confidence: 99%

An agent-based fuzzy cognitive map approach to the strategic marketing planning for industrial firms

Lee

et al. 2013

Industrial Marketing Management

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Industrial marketing planning is a typical example of an unstructured decision making problem due to the large number of variables to consider and the uncertainty imposed on those variables. Although abundant studies identified barriers and facilitators of effective industrial marketing planning in practice, the literature still lacks practical tools and methods that marketing managers can use for the task. This paper applies fuzzy cognitive maps (FCM) to industrial marketing planning. In particular, agent based inference method is proposed to overcome dynamic relationships, time lags, and reusability issues of FCM evaluation.

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Automatic construction of FCMs

Cited by 127 publications

References 3 publications

A Fuzzy Knowledge-Based Framework for Risk Assessment of Residential Real Estate Investments

A Fuzzy Knowledge-Based Framework for Risk Assessment of Residential Real Estate Investments

Pathways for drought resilient livelihoods based on people’s perception

An agent-based fuzzy cognitive map approach to the strategic marketing planning for industrial firms

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