A Method for Recognizing Inter-Relationships Between Product-Related Service Requirements

Abstract

A method for identifying interactive correlations between product-related service requirements, comprising the following steps: Step 1: Establishing a group rough cloud model of the degree of influence among product-related service requirements; Step 2: Determining the degree of influence between product-related service requirements ; Step 3: sort the product-related service requirements based on the DEMATEL method. The beneficial effect of the present invention is: allow each appraiser to use the form of interval language value, give their judgment and evaluation freely; Combine the advantages of these three methods of DEMATEL method, cloud model theory and rough set theory; Use cloud model Theory to deal with the uncertainty of personal evaluation can effectively avoid the defects of the use of fuzzy set theory; comprehensively consider the subjective value and objective value of the degree of influence, and can more comprehensively reveal the degree of influence between product-related service requirements.

Description

technical field [0001] The invention relates to a method for product-related service design, demand analysis, identification and calculation of interrelationships among demands. Background technique [0002] Objective fact 1: Related services provided around products are becoming more and more important. [0003] Since the 1990s, as the boundary between tangible products and intangible services has gradually blurred, companies have begun to provide more comprehensive and personalized product-related services centered on customers, and even realize service transformation. Practice results also show that related services provided around products can help effectively improve customer satisfaction, increase customer loyalty, enhance product market competitiveness, achieve business expansion, and ultimately bring sustainable profit growth, etc. [0004] Objective fact 2: There are various requirements for product-related services, but it is impossible for enterprises to meet all...

AI Technical Summary

Problems solved by technology

However, for Type-1 fuzzy sets: it is very contradictory to use an accurate value to measure the fuzziness; for Type-2 fuzzy sets, the value takes into account the fuzziness of the degree of membership, while ignoring the uncertainty of the interval sex

Therefore, both fuzzy sets have their own defects, and they cannot deal with the ambiguity and uncertainty of personal evaluation well (intrapersonal uncertainty)

[0021] (4) Existing studies have shown that people usually prefer to use the form of language value to give judgments, and it is often difficult to express perception with an accurate number

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