Hung-Lung Lin

Applying fuzzy hierarchy multiple attributes to construct an expert decision making process

The main objective of this paper is to propose an approach within the AHP framework for tackling the uncertainty and imprecision of service evaluations during pre-negotiation stages, where the experts comparison judgments are represented as fuzzy triangular numbers. A fuzzy prioritization method, which derives crisp priorities from consistent and inconsistent fuzzy comparison matrices, is described. The fuzzy analytic hierarchy process (FAHP)-based decision-making method can provide decision makers or buyer a valuable reference for evaluating software quality. A case study demonstrates the effectiveness of the proposed scheme. Importantly, the proposed scheme can assist decision makers in assessing the feasibility of digital video recorder system to management public space, making it highly applicable for academic and commercial purposes.

Fuzzy hierarchy sensitive with Delphi method to evaluate hospital organization performance

The conventional accreditation policy of Taiwanese hospitals involves helping promote and executing national healthcare quality policies, certifying healthcare quality, supervising the management of health care organizations, pursuing a harmonious relationship between care providers and patients, and enhancing national healthcare quality. However, the quality indicators in use by Department of Health, Executive Yuan, Taiwan (DOH) cannot indicate overall organization performance of each hospital and assess hospital operating crisis. In many cases the preference model of the human decision maker is uncertain, and it is relatively difficult for the decision maker to provide exact numerical values for the comparison ratios. This study proposal fuzzy analytic hierarchy process (FAHP) and fuzzy sensitive analysis-based approach to resolve the uncertainty and imprecision of service evaluations during pre-negotiation stages, where the comparison judgments of a decision maker are represented as fuzzy triangular numbers. A novel fuzzy prioritization method, which derives crisp priorities (criteria weights and scores of alternatives) from consistent and inconsistent fuzzy comparison matrices, is also proposed. Importantly, the proposed model can provide Taiwans hospital accreditation policy a reference material, making it highly applicable for academic and government purposes.

Integrating fuzzy theory and hierarchy concepts to evaluate software quality

This study proposes a software quality evaluation model and its computing algorithm. Existing software quality evaluation models examine multiple characteristics and are characterized by factorial fuzziness. The relevant criteria of this model are derived from the international norm ISO. The main objective of this paper is to propose a novel Analytic Hierarchy Process (AHP) approach for addressing uncertainty and imprecision in service evaluation during pre-negotiation stages, where comparative judgments of decision makers are represented as fuzzy triangular numbers. A new fuzzy prioritization method, which derives crisp priorities from consistent and inconsistent fuzzy comparison matrices, is proposed. The Fuzzy Analytic Hierarchy Process (FAHP)-based decision-making method can provide decision makers or buyers with a valuable guideline for evaluating software quality. Importantly, the proposed model can aids users and developers in assessing software quality, making it highly applicable for academic and commercial purposes.

Group Decision–Making in a Multiple Criteria Environment—A Case Using the AHPGR Model to Assess Digital Video Recorder Systems

Digital video recorder software is increasingly common given the burgeoning popularity of the surveillance market. The proposed model includes the Analytic Hierarchy Process (AHP) to determine the weights of evaluation. Grey Relational Analysis (GRA) is then performed to rank the digital video recorder software. The AHP and GRA-based decision-making method can provide decision makers or buyers with a valuable reference for evaluating software quality. A case study demonstrates the effectiveness of the proposed scheme. Importantly, the proposed scheme can assist decision makers in assessing the feasibility of digital video recorder software, making it highly applicable for academic and commercial purposes.

A simplified measurement scheme for software quality

An approach of software quality evaluation model and its computing algorithm is proposed in this paper. The software support can reduce barriers of application of MCDM procedures. In this study, we proposal the software quality measurement. The relevant criteria of this model are derived from the international norm ISO 9126–1. AHP is a measurement theory that prioritizes the hierarchy and consistency of judgemental data provided by a group of decision makers. AHP incorporates the evaluations of all decision makers into a final decision, without having to elicit their utility functions on subjective and objective criteria, by pair-wise comparisons of the alternatives. The Analytic Hierarchy Process (AHP)-based decision-making method can provide decision makers or purchasers a valuable reference for evaluating software quality. Importantly, the proposed model can assist the user and developer to assess the software quality, making it highly applicable for academia and commercial purposes.

A measurement model for experts knowledge-based systems algorithm using fuzzy analytic network process

This study proposes an experts knowledge-based systems measurement model, the model using fuzzy analytic network process (FANP) to resolve the uncertainty and imprecision of evaluations during pre-negotiation stages, where the comparison judgments of a decision maker are represented as fuzzy triangular numbers. A novel fuzzy prioritization method, which derives crisp priorities (criteria weights and scores of alternatives) from consistent and inconsistent fuzzy comparison matrices, is also proposed. The applicability of the proposed model is demonstrated in a government purchase digital video recorder (DVR) system project study. The stability tests indicate the advantages of the proposal model in determining the value of model. Importantly, the proposed model can provide decision makers a reference material, making it highly applicable for academic and commercial purposes.

An IS Quality Measurement Using Gap and Multicriteria Decision-Making Model: A Case Study for Supply Chain Management System

This study proposes a novel method for controlling and measuring supply chain management software quality. The expert decision-making algorithm-based method offers an evaluation method that can provide information system (IS) industry decision makers or administrators with a valuable reference for evaluating the IS quality between the end user and developer. Importantly, the proposed model can provide a reference material for decision makers or administrators, making it highly applicable for academic and management purposes.

Organizational Performance Measurement System and International Tourist Hotels: A New Conceptual Framework

Due to the change of market structure and other important tourism competitors’ appearance, in Taiwan, the international tourist hotel (ITH) industry has been experiencing great competition for the past decade. Under these circumstances, hotel corporations not only attempt to establish more adequate services but also promote more incentives to attract consumers. The ITH intended to consolidate their market shares and enhanced their organizational operation and performance. Therefore, this study proposed a model to evaluate the ITH organizational performance. The proposed model adopted both Balanced Scorecard (BSC) and Analytic Hierarchic Process (AHP) techniques; then, based on combining BSC and AHP, a decision-making method for constructing evaluation model can provide the ITH industry decision-makers and administrators with valuable references of evaluating organizational performance. More importantly, the proposed model in this study can provide the ITH industry an accreditation policy as a reference material, making it highly applicable for academic and government purposes.

Combing fuzzy theory and analytic network concept to construct a model in management decision-making

This study combining the fuzzy theory and analytic network concept, the fuzzy analytic network process (FANP) model to resolve the uncertainty and imprecision of evaluations during pre-negotiation stages, where the comparison judgments of a decision maker are represented as fuzzy triangular numbers. A novel fuzzy prioritization method, which derives crisp priorities (criteria weights and scores of alternatives) from consistent and inconsistent fuzzy comparison matrices, is also proposed. The applicability of the proposed model is demonstrated in an evaluation of software quality study. The case indicates the advantages of the proposal model in determining the value of model. Importantly, the proposed model can provide decision makers or administrators a reference material in management, making it highly applicable for academic and management purposes.

A Quantity Model for Controlling and Measuring Software Quality Based on the Expert Decision-Making Algorithm

Researchers have been active in the field of software engineering measurement over more than 30 years. The software quality product is becoming increasingly important in the computerized society. Target setting in software quality function and usability deployment are essential since they are directly related to development of high quality products with high customer satisfaction. Software quality can be measured as the degree to which a particular software program complies with consumer demand regarding function and characteristics. Target setting is usually subjective in practice, which is unscientific. Therefore, this study proposes a quantity model for controlling and measuring software quality via the expert decision-making algorithm-based method for constructing an evaluation method can provide software in relation to users and purchasers, thus enabling administrators or decision makers to identify the most appropriate software quality. Importantly, the proposed model can provide s users and purchasers a reference material, making it highly applicable for academic and government purposes.