Abstract: The aim of the study is to determine the effects of
perceived organizational support on organizational identification. In
accordance with this purpose was applied on 131 family physicians in
Konya. The data obtained by means of the survey method were
analyzed. According to the results of correlation analysis, while
positive relationship between perceived organizational support,
organizational identification and supervisor support was revealed.
Also, with the scope of the research, relationships between these
variables and certain demographic variables were detected.
According to difference analysis results of the research, significant
differences between organizational identification and gender variable
were determined. However, significant differences were not
determined between demographic variables and perceived
organizational support.
Abstract: This paper is motivated by the aspect of uncertainty in
financial decision making, and how artificial intelligence and soft
computing, with its uncertainty reducing aspects can be used for
algorithmic trading applications that trade in high frequency.
This paper presents an optimized high frequency trading system that
has been combined with various moving averages to produce a hybrid
system that outperforms trading systems that rely solely on moving
averages. The paper optimizes an adaptive neuro-fuzzy inference
system that takes both the price and its moving average as input,
learns to predict price movements from training data consisting of
intraday data, dynamically switches between the best performing
moving averages, and performs decision making of when to buy or
sell a certain currency in high frequency.
Abstract: Brand name plays a vital role for in-shop buying
behavior of consumers and mutated brand name may affect the
selling of leading branded products. In Indian market, there are many
products with mutated brand names which are either orthographically
or phonologically similar. Due to presence of such products, Indian
consumers very often fall under confusion when buying some
regularly used stuff. Authors of the present paper have attempted to
demonstrate relationship between less attention and false recognition
of mutated brand names during a product selection process. To
achieve this goal, visual attention study was conducted on 15 male
college students using eye-tracker against a mutated brand name and
errors in recognition were noted using questionnaire. Statistical
analysis of the acquired data revealed that there was more false
recognition of mutated brand name when less attention was paid
during selection of favorite product. Moreover, it was perceived that
eye tracking is an effective tool for analyzing false recognition of
brand name mutation.
Abstract: We present a new intuitionistic fuzzy aggregation
operator called the intuitionistic fuzzy ordered weighted
averaging-weighted average (IFOWAWA) operator. The main
advantage of the IFOWAWA operator is that it unifies the OWA
operator with the WA in the same formulation considering the degree
of importance that each concept has in the aggregation. Moreover, it is
able to deal with an uncertain environment that can be assessed with
intuitionistic fuzzy numbers. We study some of its main properties and
we see that it has a lot of particular cases such as the intuitionistic
fuzzy weighted average (IFWA) and the intuitionistic fuzzy OWA
(IFOWA) operator. Finally, we study the applicability of the new
approach on a financial decision making problem concerning the
selection of financial strategies.