jamsis
Abstract : Application of Wald Function to OR and AND Fuzzy Operations in No-Data Problems
Application of Wald Function to OR and AND Fuzzy Operations in No-Data Problems Houju Hori Jr. and Yukio Matsumoto DOI: http://dx.doi.org/10.6000/2371-1647.2016.02.09 Published: 28 November 2016 |
Abstract: Subjective qualifiers of Wald’s theory of decision functions are the fuzzy events of the subsequent fuzzy set theory. Wald’s notion of subjective qualifiers involves applying integral transforms to convert states of nature into fuzzy events. Probabilities of fuzzy events and arithmetic formulas for fuzzy utility function values are readily derived from Wald’s integral transforms. We have applied Zadeh’s extension principle to Wald’s integral transforms and demonstrated that fuzzy mathematics is effective when applied to multiple subjective probability distributions conjoined by OR and AND operations. In this paper, we focus on no-data problems and construct a fuzzy Bayes’ theorem for cases in which a membership function and multiple subjective probability distributions conjoined by OR or AND operations are given. In addition, we devise a formulation for the corresponding decision making problem. Keywords: Subjective qualifier, fuzzy event, membership function, subjective probability distribution, OR-conjunction, AND-conjunction. |
Abstract : A Stage Model of Social Media Adoption
Abstract : Beyond the Big Five: Personality and Job Performance in an E-Commerce Firm
Abstract : Application of Fuzzy Numbers to the Assessment of CBR Systems
Application of Fuzzy Numbers to the Assessment of CBR Systems Michael Gr. Voskoglou DOI: http://dx.doi.org/10.6000/2371-1647.2016.02.05 Published: 20 September 2016 |
Abstract: Case-Based Reasoning (CBR) is the process of solving problems by properly adapting the solutions of similar (analogous) problems solved in the past. As an Artificial Intelligence’s method CBR has become recently very popular to information managers increasing the effectiveness and reducing the cost of various human activities by substantially automated processes, such as diagnosis, scheduling, design, etc. In this paper a combination is utilized of the Centre of Gravity defuzzification technique and of the Fuzzy Numbers for assessing the effectiveness of CBR systems. Our new fuzzy assessment approach is validated by comparing its outcomes in our applications with the corresponding outcomes of two traditional assessment methods, the calculation of the mean values and the GPA index. Keywords: Analogical Reasoning (AR), Case-Based Reasoning (CBR), Fuzzy Logic (FL), Centre of Gravity (COG) Defuzzification Technique, Triangular and Trapezoidal Fuzzy Numbers (TFNs and TpFNs), GPA index. |