There are two main strategies of reasoning, forward chaining and backward chaining [Giarratano et.al. 2004]. Forward chaining starts from existing facts and applying rules to derive all possible facts while backward chaining starts with the desired conclusion and perform backward to find supporting facts. Optimized algorithms and techniques may be used to improve the performance of the reasoning process. User applications typically interact with inference engines via APIs (application programming interfaces).
The systematic processing claims that the examination of a message has effort and carefulness and it can be affected by situational variables. The other heuristic processing is simpler as people use rules to create judgments. The last is called elaboration likelihood model. There are factors that make the receiver favorable or unfavorable towards a recommended position, first is the acceptance between both the receiver 's initial position and the recommended one. The second is the strength of a certain
If the effect of multiple parameters is not independent MVA became very useful. Also, if some parameters are partial or complete measures of some other parameters (correlation) then too this became very useful. There are some cases in which the true source of variation may not be recognized or may not be measurable. (https:// qualityamerica.com/knowledgecenter/statisticalprocesscontrol/when_to_use_a_multivariate_chart.asp 2012). For an illustration, olumetric Flow and Pressure may be the process parameters being controlled.
Moreover, quantitative data about the research variables would also be included in this study, which will be analysed using the quantitative research methods. The research strategy selected for the study is mix methods, which refer to the procedure whereby quantitative and qualitative research methods along with the techniques to identify the limitations determined by each method. This strategy is a significant feature of triangulation method, which demonstrates the use of more than two methods to check the results against each method implemented for providing reliable results (Kothari, 2008; Bergh & Ketchen, 2009). 3.3 Research Philosophy The selected research philosophy for the study include interpretivist, which provides that there
Second, each small group will be re-categorized into some groups which have similarities. Last, some big groups will be theorized based on the theoretical data. Figure 2 is an example which shows one predicted data of the interview related to my research question. (Saiki, C.S., 2008) Each procedure of data analysis with grounded theory approach is as follows; Property and Dimension Property and dimension can be defined as the components of the matter. We would be able to know what the phenomenon or fact actually is by finding property and dimension.
Qualitative analysis is mainly based on the analyst 's intuition, experience, with the object of the past and the current state of the continuation of the latest information and information on the nature of the analysis of objects, characteristics, changes in the law to make a judgment. Qualitative data can be words, text, photos or sound recordings (soft data) (www.cardiff.ac.uk, 2018) In general, qualitative research is primarily exploratory research. Quantitative research through in-depth understanding of the problem, the problem analysis of the potential causes, opinions and motives. On this basis it helps to put forward ideas or assumptions for potential quantitative research. Qualitative data is typically collected through focus groups (panel discussions), personal interviews and participation / observation.
The pre-experimental method was used for two main reasons. The first relates to the cause-and-effect relationship that may be claimed from the investigation. Using a quantitative approach “allows the researcher to focus sharply on causal relations” (Neuman, 2007:201). The second relates to the need to explore many factors potentially influencing L2 writing learning. Independent and dependent variables A variable in quantitative research is “a characteristic or attribute of an individual or an organization that can be measured or observed and that varies among the people or organizations being studied” (Creswell, 2009:50).
The paper also describes various factors affecting strategic planning, such as internal and external factors. It gives an account of certain global issues that impact strategic planning, including political, economic, social and technological issues. Furthermore, the paper gives an account of the importance of strategic decision making, and illustrates the example of Seth GmbH. Finally, the paper concludes
To solve this ambiguity, fuzzy logic is used in Expert Systems. This paper presents analysis of Fuzzy Expert System designed and implemented
Some of the usually pronounced weaknesses of the quantitative method are related to difficulties related to sensitive issues like income or sexual practice, and since many groups such as the minorities are difficult to reach, information obtained may be incomplete and/or inaccurate. Indeed, the method is expensive and time consuming. And the method is also inflexible since after the study begins, the instruments cannot be modified (Bamberger, 2000; Rao and Woolcock, 2003; Sumner and Tribe