Abstract
Evaluation of business processes plays a significant role in business development and improvement. Therefore, organizations need a systematic approach to evaluate all the changes through robust and powerful techniques that can formulate the relationship between the available information and the degree of the inherent uncertainty. In this paper, a set of operational variables are defined. Then, the SPSS software package is utilized to validate the gathered data. After that, the variables are categorized by the use of a clustering technique. Finally, five major factors are determined as the most effective components. According to the inherent uncertainty involved in the process of modelling, fuzzy set theory, a powerful mathematical tool is applied to handle the vagueness. In order to construct a knowledge base based on the fuzzy set theory, the linguistic concepts for each variable are defined. Lastly, membership functions are described and a set of fuzzy rules based on input-output parameters are written in MATLAB software environment. To demonstrate the potential application of the proposed approach, a real case study is illustrated. The results reflect the capability and effectiveness of the approach proposed in this paper.
Highlights
Many productions were made by the skilled craftsmen until the mid-seventeenth century, and all phases of design, manufacture, marketing, sales and service in various industries such as textile, metals, jewellery, etc., was implemented in craftsmen’s small workshop
Each of the other indicators is in interaction with business process and experts’ opinions are reflected through questionnaires in the fuzzy system
––The collected indicators that are effective in business process selection are more comprehensive than the indicators in previous studies
Summary
Many productions were made by the skilled craftsmen until the mid-seventeenth century, and all phases of design, manufacture, marketing, sales and service in various industries such as textile, metals, jewellery, etc., was implemented in craftsmen’s small workshop. Gary Hamel encouraged managers to destroy – smash – the old models and business strategies and to create new ones (Binesh 2005; Hamel 2009) He believed that for doing so we should not regard a thing which is transforming as a stable thing. In order to reach the highest level of ability and be successful in competitions, organizations need to accept changes and use the cutting-edge technology They should reach the stable and continuous level in the business. The fuzzy inference system, the heart of the system, is employed for scoring the processes by the use of MATLAB software In this system, the values and their corresponding weights of each indicator are considered as input parameters for scoring the process
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