Application of Fuzzy Cognitive Map to Design the Causal Structure and Analyze the Factors Affecting Good Governance in the Ports and Maritime Organization

Purpose The purpose of this paper is to apply a fuzzy LinPreRa cognitive map to evaluate the interaction and importance of factors affecting the development of strategic alliance partnerships between the outlying island duty-free shops and existing collaboration firms in duty-free shops. Meanwhile, the key factors should be considered in establishing strategic alliance partnerships while analyzing and comparing the perspectives of owners for outlying island duty-free shop and partner vendors of collaborating firms along with differences of influencing key factors on partnership quality. Design/methodology/approach This study incorporates a fuzzy linguistic preference relation analytical network process (fuzzy LinPreRa ANP) in the fuzzy cognitive map (FCM) method to formulate a fuzzy LinPreRa cognitive map to evaluate the interactions and importance of key factors and the conditions of interactive impacts during the establishment of strategic alliance partnerships. The authors use the outlying island duty-free shops in Taiwan as the empirical subject to illustrate how the fuzzy LinPreRa cognitive map is applied. In-depth, interviews and questionnaire surveys are conducted to collect and evaluate respondents concerning key factors affecting strategic alliance partnerships establishment. Findings The following three findings based on the results of empirical analysis: first, the administrative behavioral patterns of managers for strategic alliance partnerships encompass shared values and goal coherence, while the associative statements are located on the first layer of fuzzy LinPreRa cognitive map core associations, which illustrates that businesses attach great importance to conceptual ideas. Second, integrity and reputations of both parties are the governing mechanism of strategic alliance partnerships, influencing mutual reputation. Third, the relationship of strategic alliance partnerships refers to the profit opportunities of both parties and their ability to respond to the market, including future development, regional indicators, marketing capabilities, brand multiplicity and customer retention. However, it can be inferred that such associative factors are located in the outer layer or belong to noncore associations, which means that both parties’ abilities to respond to market reactions are weakened. Practical implications This study provides valuable relationship managerial strategies to maintain long-term partnerships for outlying island duty-free shops and their alliance collaborating firms including strengthened relationships of both parties’ managers to achieve common values and consistent objectives; improved beneficial value of both parties in strategic alliance partnerships; continued close communications to enhance the quality of strategic alliance partnerships; and establishment of personnel training mechanisms and strict formulation of management rules for strategic alliance partnerships. Originality/value The main valuable contributions are included the fuzzy LinPreRa cognitive map by combining two different decision methods including FCM and fuzzy LinPreRa ANP is proposed to help decision makers to improve the evaluation quality and calculation efficiency for critical elements’ interaction and importance; the fuzzy LinPreRa cognitive map can clarify considering significant factors when maintaining strategic alliance partnerships and further provide valuable relationship managerial strategies to maintain long-term relationships for duty-free shop owners and their alliance collaborating firms.

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An Adaptive Bilateral Filter for Noise Removal and Novel Hybrid Fuzzy Cognitive Map-FNN Edge Detection Method for Images

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v9i9.3536 ◽

2014 ◽

Vol 9 (9) ◽

pp. 1621 ◽

Cited By ~ 2

Author(s):

T. Karthikeyan ◽

N. P. Revathy

Keyword(s):

Edge Detection ◽

Detection Method ◽

Bilateral Filter ◽

Noise Removal ◽

Cognitive Map ◽

Fuzzy Cognitive Map ◽

Edge Detection Method

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CIRCULAR ECONOMY STRATEGIES FOR ELECTRIC AND ELECTRONIC EQUIPMENT: A FUZZY COGNITIVE MAP

Environmental Engineering and Management Journal ◽

10.30638/eemj.2017.197 ◽

2017 ◽

Vol 16 (8) ◽

pp. 1807-1817 ◽

Cited By ~ 10

Author(s):

Fabiana Tornese ◽

Maria Grazia Gnoni ◽

Giorgio Mossa ◽

Giovanni Mummolo ◽

Rossella Verriello

Keyword(s):

Circular Economy ◽

Cognitive Map ◽

Electronic Equipment ◽

Fuzzy Cognitive Map

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MODELING OF THE DETECTION SYSTEM OF PRE-EMERGENCY SITUATION BASED ON THE FUZZY COGNITIVE MAP

Reliability and Quality of Complex Systems ◽

10.21685/2307-4205-2018-2-10 ◽

2018 ◽

Author(s):

O. V. Prokof'ev ◽

◽

A. E. Savochkin ◽

Keyword(s):

Detection System ◽

Emergency Situation ◽

Cognitive Map ◽

Fuzzy Cognitive Map

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A preliminary fuzzy cognitive map - based desicion support tool for geriatric depression assessment

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2013.6622485 ◽

2013 ◽

Cited By ~ 5

Author(s):

Elpiniki I. Papageorgiou ◽

Antonis S. Billis ◽

Christos Frantzidis ◽

Evdokimos I. Konstantinidis ◽

Panagiotis D. Bamidis

Keyword(s):

Cognitive Map ◽

Fuzzy Cognitive Map ◽

Geriatric Depression ◽

Support Tool ◽

Depression Assessment

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The prediction of online time series with concept drift based on dynamic intuitionistic fuzzy cognitive map

Intelligent Data Analysis ◽

10.3233/ida-205271 ◽

2021 ◽

Vol 25 (4) ◽

pp. 949-972

Author(s):

Nannan Zhang ◽

Xixi Yao ◽

Chao Luo

Keyword(s):

Fuzzy Set ◽

Sequence Data ◽

Concept Drift ◽

Intuitionistic Fuzzy Set ◽

Cognitive Map ◽

Fuzzy Cognitive Maps ◽

Fuzzy Cognitive Map ◽

Online Data ◽

Intuitionistic Fuzzy ◽

Public Data

Fuzzy cognitive maps (FCMs) have widely been applied for knowledge representation and reasoning. However, in real life, reasoning is always accompanied with hesitation, which is deriving from the uncertainty and fuzziness. Especially, when processing the online data, since the internal and external interference, the distribution and characteristics of sequence data would be considerably changed along with the passage of time, which further increase the difficulty of modeling. In this article, based on intuitionistic fuzzy set theory, a new dynamic intuitionistic fuzzy cognitive map (DIFCM) scheme is proposed for online data prediction. Combined with a novel detection algorithm of concept drift, the structure of DIFCM can be adaptively updated with the online learning scheme, which can effectively improve the representation of online information by capturing the real-time changes of sequence data. Moreover, in order to tackle with the possible hesitancy in the process of modeling, intuitionistic fuzzy set is applied in the construction of dynamic FCM, where hesitation degree as a quantitative index explicitly expresses the hesitancy. Finally, a series of experiments using public data sets verify the effectiveness of the proposed method.

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