Ordinal judgments in multiattribute decision analysis

Moshkovich, Helen M.; Mechitov, Alexander; Olson, David L.

doi:10.1016/s0377-2217(01)00106-0

Cited by 65 publications

(24 citation statements)

References 27 publications

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“…Finally, a practical example for evaluating the psycholinguistic teaching effect is given to verify the developed approach. In our future studies, our results may be further extended by using the traditional uncertain and fuzzy decision making theories and techniques [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49].…”

Section: Resultsmentioning

confidence: 99%

Research on the assessment of psycholinguistic teaching effect with triangular fuzzy information

Wang

2017

IFS

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Abstract.The effect and quality of education is the fundamental of higher education, and instructional reform is the core one of all reforms in higher education. In order to motivate the instructional reform and enhance the quality of education, the department of education in China has evaluated and rewarded the study performance in instructional practice of educators in higher learning instructions since 1989. This means has pushed enormously the process of the instructional reform in higher learning institutions and enhanced the effect and quality of higher education. However, evaluating and rewarding the excellent study performance of educators in higher learning institutions still depends on the qualitative evaluation by the expert's intelligence and experience. In this paper, we investigate the multiple attribute decision making problems for evaluating the psycholinguistic teaching effect with triangular fuzzy information. Motivated by the idea of geometric Bonferroni mean and Einstein operations, we develop the triangular fuzzy Einstein geometric Bonferroni mean (TFEGBM) operator and triangular fuzzy weighted Einstein geometric Bonferroni mean (TFWEGBM) operator for aggregating the triangular fuzzy information. Then, based on the TFWEGBM operator, we develop the procedure for multiple attribute decision making with the triangular fuzzy information. Finally, a practical example for evaluating the psycholinguistic teaching effect is given to verify the developed approach.

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Section: Resultsmentioning

confidence: 99%

Research on the assessment of psycholinguistic teaching effect with triangular fuzzy information

Wang

2017

IFS

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“…It has been argued that selecting preference based on methods other than cardinal form generates consistency and reliable results (Moshkovich et al, 2002). PAPRIKA method can compare criteria weights of one decision-maker with another in the trading-off the same criteria basis.…”

Section: Paprika Methods For Cloud Computing Adoption Decision-makingmentioning

confidence: 99%

Cloud computing adoption decision modelling for SMEs: a conjoint analysis

Alismaili

Shen

2016

IJWGS

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Cloud computing is an emerging technology that promises competitive advantages, cost savings, enhanced business processes and services, and various other benefits to enterprises. Despite the rapid technological advancement, the adoption of cloud computing is still growing slowly among small and mediumsized enterprises (SMEs). This paper presents a model to support the decisionmaking process, using a multi-criteria decision method PAPRIKA for the socio-technical aspects influencing SMEs cloud adoption decision. Due to the multifaceted nature of the cloud computing adoption process, the evaluation of various cloud services and deployment models have become a major challenge. This paper presents a systematic approach to evaluating cloud computing services and deployment models. Subsequently, we have conducted conjoint analysis activities with five SMEs decision makers as part of the distribution process of this decision modelling based on predetermined criteria. With the help of the proposed model, cloud services and deployment models can be ranked and selected. Abstract. Cloud computing is an emerging technology that promises competitive advantages, significant cost savings, enhanced business processes and services, and various other benefits to enterprises. Despite the rapid technological advancement, the adoption of cloud computing is still growing slowly among small and medium-sized enterprises (SMEs). This paper presents a model to support the decision-making process, using a multi-criteria decision method PAPRIKA for the sociotechnical aspects that have an impact on SMEs cloud computing adoption process. Due to the multifaceted nature of the cloud computing adoption process, the evaluation and selection of various cloud services and deployment models have become a major challenge. This paper presents a systematic approach to evaluating cloud computing services and deployment models. Subsequently, we have conducted conjoint analysis activities with five SMEs decision makers as part of the distribution process of this decision modelling based on predetermined criteria. With the help of the proposed model, cloud services and deployment models can be ranked and selected based on their economic values, advantages, compatibility with in-house systems, integrability & manageability, security & privacy concerns, reliability, availability, features & management. The adaptability and the feasibility of the proposed method in cloud computing adoption demonstrated with five real-world cases.

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“…It has been argued that selecting preference based on methods other than cardinal form generates consistence and reliable results [23]. Sullivan [32] discussed in his study about three methods that elicit preference information in ordinal form namely: PAPRIKA, ACA, and DCE/CA.…”

Section: Rationality Of Using Paprika Methodsmentioning

confidence: 99%

Cloud Computing Adoption Decision Modelling for SMEs: From the PAPRIKA Perspective

Alismaili

Shen

2016

Lecture Notes in Electrical Engineering

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The popularity of cloud computing has been growing among enter-prises since its inception. It is an emerging technology which promises competi-tive advantages, significant cost savings, enhanced business processes and ser-vices, and various other benefits. The aim of this paper is to propose a decision modelling using Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) for the factors that have impact in SMEs cloud computing adoption process. Abstract. The popularity of cloud computing has been growing among enterprises since its inception. It is an emerging technology which promises competitive advantages, significant cost savings, enhanced business processes and services, and various other benefits. The aim of this paper is to propose a decision modelling using Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) for the factors that have impact in SMEs cloud computing adoption process.

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Ordinal judgments in multiattribute decision analysis

Cited by 65 publications

References 27 publications

Research on the assessment of psycholinguistic teaching effect with triangular fuzzy information

Research on the assessment of psycholinguistic teaching effect with triangular fuzzy information

Cloud computing adoption decision modelling for SMEs: a conjoint analysis

Cloud Computing Adoption Decision Modelling for SMEs: From the PAPRIKA Perspective

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