A fuzzy logic approach for dealing with qualitative quality characteristics of a process

Tahera, Khadiza; Ibrahim, Raafat N; Lochert, Paul Bertram

doi:10.1016/j.eswa.2007.05.025

Cited by 47 publications

(18 citation statements)

References 14 publications

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“…In conclusion, the Overhaul Concept Refinement Process Model is usable and repeatable [26]. Moreover, as illustrated in Chapter 3, it can be used to refine the new overall architectural and software development concepts associated with overhauling a legacy enterprise software application.…”

Section: Resultsmentioning

confidence: 99%

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Overhauling legacy enterprise software applications with a Concept Refinement Process Model

Knight

Tabrizi

2013

2013 IEEE 7th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems

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Currently, there are many legacy enterprise software applications in active deployment that are outdated. These large legacy applications are rapidly becoming less practical for both the organizations they service, and for the organizations responsible for servicing them. Due to this problem, organizations utilizing legacy enterprise software applications are looking for feasible methods for overhauling them. This thesis establishes a process model for refining the initial concept associated with overhauling legacy enterprise software applications, and examines a case study of that process as applied to a real-world legacy software system.

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Section: Resultsmentioning

confidence: 99%

“…[32,34] Phase 6 2, 3, 4, 5, 6, 7, 8, 9 Involves refining potential solutions via rapid prototyping of the development process and architectural concepts [5,32,34]. Phase 7 5, 6, 7, 8, 9 Involves evaluating the final prototyped development process and software product to determine if the project can be feasibly pursued [5,26,32,34].…”

Section: Reduced Qualitymentioning

confidence: 99%

Overhauling legacy enterprise software applications with a Concept Refinement Process Model

Knight

Tabrizi

2013

2013 IEEE 7th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems

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“…Users have to enter the numerical values of the input variables of the SKUs via the interface. They are able to view the degree to which each IF part of the rules has been satisfied (Tahera et al 2008). In addition, the output variables are displayed for decision making purposes.…”

Section: (Iv) Phase 4: Development Of the Decision Support Modulementioning

confidence: 99%

“…Unlike classical set theory that classifies the elements of the set into crisp sets, a fuzzy set has an ability to classify elements into a continuous set using the concept of degree of membership (Tahera et al 2008). The membership function not only gives 0 or 1 but can also give values between 0 and 1.…”

Section: (Iii) Determination Of Membership Functionsmentioning

confidence: 99%

A RFID-based storage assignment system for enhancing the efficiency of order picking

Choy

Lee

2014

J Intell Manuf

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In today's time-sensitive markets, effective storage policies are widely accepted as a means for improving the efficiency of order picking. As a result of customization, the variety of products handled by a warehouse has increased, making storage location assignment problems more complicated. Different approaches have been proposed by researchers for improving storage assignment and order picking. However, many industrial practitioners find it difficult to adopt such approaches due to complexity and high associated costs. In particular, small and medium enterprises (SMEs), that generally, lack resources and who have staff members with weak artificial intelligence backgrounds, still rely on experience when assigning storage locations for diverse products. In these circumstances, the quality of decision making cannot be guaranteed. In view of this, an intelligent system which can be easily adopted by SMEs is designed to improve storage location assignment problems. The proposed system, an RFID-based storage assignment system (RFID-SAS), is a rule-based system incorporating radio frequency identification (RFID) provides decision support for storage assignment in a warehouse. Unlike many existing situations, RFID tags are attached to products at the item level instead of at the pallet level. As the knowledge embedded in the system is represented in the form of rules, evaluation is important and is outlined in this paper. The effectiveness of the system is verified by means of a case study in which the system is implemented in a typical SME specializing in machinery manufacturing. The results illustrate that RFID-SAS can enhance the efficiency of order picking in a warehouse.

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“…Membership functions, for instance triangular, trapezoidal and Gaussian, are chosen for representing fuzzy input and output variables to deal with imprecision. The membership function can show degree of membership for each possible crisp value of the fuzzy variables (Tahera, Ibrahim, & Lochert, 2008). However, it is very complex and time-consuming to calculate the similarity by distance function under fuzzy condition, owing to every variable should be transformed into a fuzzy number instead of the crisp number.…”

Section: Similarity Measurement (Sm)mentioning

confidence: 99%

A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design

Peng

et al. 2009

Expert Systems with Applications

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A fuzzy logic approach for dealing with qualitative quality characteristics of a process

Cited by 47 publications

References 14 publications

Overhauling legacy enterprise software applications with a Concept Refinement Process Model

Overhauling legacy enterprise software applications with a Concept Refinement Process Model

A RFID-based storage assignment system for enhancing the efficiency of order picking

A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design

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