Application of fuzzy sets with different t-norms in the interpretation of portfolio matrices in strategic management

Pap, Endre; Bošnjak, Zita; Bošnjak, Saša

doi:10.1016/s0165-0114(98)00196-1

Cited by 25 publications

(14 citation statements)

References 2 publications

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“…Furthermore, several authors have recommended the incorporation of fuzzy theory into the interpretation of portfolio matrices to assist managers in different scenarios and tasks, e.g. [31,36,53,54,59,73,77].…”

Section: Psychologically-conservative ð3þmentioning

confidence: 99%

PB-ADVISOR: A private banking multi-investment portfolio advisor

González‐Carrasco

Colomo‐Palacios

López-Cuadrado

et al. 2012

Information Sciences

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a b s t r a c tPrivate banking is a business area in which the investor requires tailor-made advice. Because of the current market situation, investors are requiring answers to difficult questions and looking for assurance from wealth managers. Private bankers need to have deep knowledge about an innumerable list of products and their characteristics as well as the suitability of each product for the client's characteristics to be able to offer an optimal portfolio according to client expectations. Client and portfolio diversity calls for new recommendation and advice systems focused on their specific characteristics. This paper presents PB-ADVISOR, a system aimed at recommending investment portfolios based on fuzzy and semantic technologies to private bankers. The proposed system provides private bankers with a powerful tool to support their decision process and help deal with complex investment portfolios. The system has been evaluated in a real scenario obtaining promising results.

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Section: Psychologically-conservative ð3þmentioning

confidence: 99%

PB-ADVISOR: A private banking multi-investment portfolio advisor

González‐Carrasco

Colomo‐Palacios

López-Cuadrado

et al. 2012

Information Sciences

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“…Lin and Hsieh (2003) used fuzzy weighted average to defuzzify the industry attractiveness-business strength matrix. Pap et al (2000) employed a fuzzy rule-base to handle the growth-share matrix. Ghazinoory et al (2007) used the fuzzy approach to evaluate quantitative and qualitative factors and strategies in a SWOT matrix.…”

Section: Literature Reviewmentioning

confidence: 99%

A soft multi-criteria decision analysis model with application to the European Union enlargement

2010

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This paper proposes a new multi-criteria decision analysis (MCDA) model that uses a series of existing intuitive and analytical methods to systematically capture both objective and subjective beliefs and preferences from a group of decision makers (DMs). A defuzzification method that combines entropy and the theory of displaced ideal synthesizes crisp values from the DMs' subjective judgments. This approach assists the DMs in their selection process by plotting alternatives in a four quadrant graph and considering their Euclidean distance from the "ideal" choice. A pilot study illustrates the details of the proposed method. The DMs were a group of graduate students from the University of Paderborn in Germany. The pilot study concerned the addition of new members into the European Union (EU), a decision that has profound economic and political effects on both the entering and existing members of the Union. The DMs were required to consider a large number of internal strengths and weaknesses and external opportunities and threats in assessing the decision to enlarge the EU. Although the pilot study was not performed by actual DMs from the EU, it was an excellent platform for testing the proposed model.

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Section: Introductionmentioning

confidence: 99%

“…doi:10.1016/j.ins.2010.01.012 industry attractiveness-business strength matrix is fuzzified. In [12] a fuzzy rule-based method is used to handle the growthshare matrix. The fuzzy concept also has been applied in optimal portfolio selection problems.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, one should consider an environment for the expression of strategies based on areas instead of points. Although some researchers have attempted to fuzzify the inputs of process of strategic planning [11,12], this paper considers both inputs and outputs of this process. Whereas the real nature of the environment for the implementation of strategies is ambiguous, we pursue an approach towards the expression of strategies in uncertain states.…”

Section: Introductionmentioning

confidence: 99%

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